id sid tid token lemma pos iajs-2516 1 1 microsoft microsoft PROPN iajs-2516 1 2 word word NOUN iajs-2516 1 3 110 110 NUM iajs-2516 1 4 - - SYM iajs-2516 1 5 121 121 NUM iajs-2516 1 6 ibn ibn PROPN iajs-2516 1 7 al al PROPN iajs-2516 1 8 - - PUNCT iajs-2516 1 9 haitham haitham PROPN iajs-2516 1 10 jour jour X iajs-2516 1 11 . . PROPN iajs-2516 2 1 for for ADP iajs-2516 2 2 pure pure ADJ iajs-2516 2 3 & & CCONJ iajs-2516 2 4 appl appl PROPN iajs-2516 2 5 . . PUNCT iajs-2516 3 1 sci sci PROPN iajs-2516 3 2 . . PROPN iajs-2516 4 1 33 33 NUM iajs-2516 4 2 ( ( PUNCT iajs-2516 4 3 4 4 NUM iajs-2516 4 4 ) ) PUNCT iajs-2516 4 5 2020 2020 NUM iajs-2516 4 6 110 110 NUM iajs-2516 4 7                     SPACE iajs-2516 4 8 comparison comparison NOUN iajs-2516 4 9 of of ADP iajs-2516 4 10 artificial artificial ADJ iajs-2516 4 11 neural neural ADJ iajs-2516 4 12 network network NOUN iajs-2516 4 13 and and CCONJ iajs-2516 4 14 boxjenkins boxjenkin NOUN iajs-2516 4 15 models model NOUN iajs-2516 4 16 to to PART iajs-2516 4 17 predict predict VERB iajs-2516 4 18 the the DET iajs-2516 4 19 number number NOUN iajs-2516 4 20 of of ADP iajs-2516 4 21 patients patient NOUN iajs-2516 4 22 with with ADP iajs-2516 4 23 hypertension hypertension NOUN iajs-2516 4 24 in in ADP iajs-2516 4 25 kalar kalar PROPN iajs-2516 4 26 layla layla PROPN iajs-2516 4 27 a. a. PROPN iajs-2516 4 28 ahmed ahmed PROPN iajs-2516 4 29 department department PROPN iajs-2516 4 30 of of ADP iajs-2516 4 31 mathematics mathematics PROPN iajs-2516 4 32 , , PUNCT iajs-2516 4 33 college college NOUN iajs-2516 4 34 of of ADP iajs-2516 4 35 education education NOUN iajs-2516 4 36 , , PUNCT iajs-2516 4 37 university university NOUN iajs-2516 4 38 of of ADP iajs-2516 4 39 garmian garmian PROPN iajs-2516 4 40 , , PUNCT iajs-2516 4 41 kurdistan kurdistan ADJ iajs-2516 4 42 region region NOUN iajs-2516 4 43 , , PUNCT iajs-2516 4 44 iraq iraq PROPN iajs-2516 4 45 layla.aziz@garmian.edu.krd layla.aziz@garmian.edu.krd PROPN iajs-2516 4 46 abstract abstract ADJ iajs-2516 4 47 artificial artificial ADJ iajs-2516 4 48 neural neural ADJ iajs-2516 4 49 network network NOUN iajs-2516 4 50 ( ( PUNCT iajs-2516 4 51 ann ann PROPN iajs-2516 4 52 ) ) PUNCT iajs-2516 4 53 is be AUX iajs-2516 4 54 widely widely ADV iajs-2516 4 55 used use VERB iajs-2516 4 56 in in ADP iajs-2516 4 57 many many ADJ iajs-2516 4 58 complex complex ADJ iajs-2516 4 59 applications application NOUN iajs-2516 4 60 . . PUNCT iajs-2516 5 1 artificial artificial ADJ iajs-2516 5 2 neural neural ADJ iajs-2516 5 3 network network NOUN iajs-2516 5 4 is be AUX iajs-2516 5 5 a a DET iajs-2516 5 6 statistical statistical ADJ iajs-2516 5 7 intelligent intelligent ADJ iajs-2516 5 8 technique technique NOUN iajs-2516 5 9 resembling resemble VERB iajs-2516 5 10 the the DET iajs-2516 5 11 characteristic characteristic NOUN iajs-2516 5 12 of of ADP iajs-2516 5 13 the the DET iajs-2516 5 14 human human ADJ iajs-2516 5 15 neural neural ADJ iajs-2516 5 16 network network NOUN iajs-2516 5 17 . . PUNCT iajs-2516 6 1 the the DET iajs-2516 6 2 prediction prediction NOUN iajs-2516 6 3 of of ADP iajs-2516 6 4 time time NOUN iajs-2516 6 5 series series NOUN iajs-2516 6 6 from from ADP iajs-2516 6 7 the the DET iajs-2516 6 8 important important ADJ iajs-2516 6 9 topics topic NOUN iajs-2516 6 10 in in ADP iajs-2516 6 11 statistical statistical ADJ iajs-2516 6 12 sciences science NOUN iajs-2516 6 13 to to PART iajs-2516 6 14 assist assist VERB iajs-2516 6 15 administrations administration NOUN iajs-2516 6 16 in in ADP iajs-2516 6 17 the the DET iajs-2516 6 18 planning planning NOUN iajs-2516 6 19 and and CCONJ iajs-2516 6 20 make make VERB iajs-2516 6 21 the the DET iajs-2516 6 22 accurate accurate ADJ iajs-2516 6 23 decisions decision NOUN iajs-2516 6 24 , , PUNCT iajs-2516 6 25 so so SCONJ iajs-2516 6 26 the the DET iajs-2516 6 27 aim aim NOUN iajs-2516 6 28 of of ADP iajs-2516 6 29 this this DET iajs-2516 6 30 study study NOUN iajs-2516 6 31 is be AUX iajs-2516 6 32 to to PART iajs-2516 6 33 analysis analysis VERB iajs-2516 6 34 the the DET iajs-2516 6 35 monthly monthly ADJ iajs-2516 6 36 hypertension hypertension NOUN iajs-2516 6 37 in in ADP iajs-2516 6 38 kalar kalar ADJ iajs-2516 6 39 for for ADP iajs-2516 6 40 the the DET iajs-2516 6 41 period period NOUN iajs-2516 6 42 ( ( PUNCT iajs-2516 6 43 january january PROPN iajs-2516 6 44 2011june 2011june NUM iajs-2516 6 45 2018 2018 NUM iajs-2516 6 46 ) ) PUNCT iajs-2516 6 47 by by ADP iajs-2516 6 48 applying apply VERB iajs-2516 6 49 an an DET iajs-2516 6 50 autoregressive autoregressive ADJ iajs-2516 6 51 – – PUNCT iajs-2516 6 52 integratedmoving integratedmove VERB iajs-2516 6 53 average average ADJ iajs-2516 6 54 model model NOUN iajs-2516 6 55 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 6 56 and and CCONJ iajs-2516 6 57 artificial artificial ADJ iajs-2516 6 58 neural neural ADJ iajs-2516 6 59 networks network NOUN iajs-2516 6 60 and and CCONJ iajs-2516 6 61 choose choose VERB iajs-2516 6 62 the the DET iajs-2516 6 63 best good ADJ iajs-2516 6 64 and and CCONJ iajs-2516 6 65 most most ADV iajs-2516 6 66 efficient efficient ADJ iajs-2516 6 67 model model NOUN iajs-2516 6 68 for for ADP iajs-2516 6 69 patients patient NOUN iajs-2516 6 70 with with ADP iajs-2516 6 71 hypertension hypertension NOUN iajs-2516 6 72 in in ADP iajs-2516 6 73 kalar kalar ADJ iajs-2516 6 74 through through ADP iajs-2516 6 75 the the DET iajs-2516 6 76 comparison comparison NOUN iajs-2516 6 77 between between ADP iajs-2516 6 78 neural neural ADJ iajs-2516 6 79 networks network NOUN iajs-2516 6 80 and and CCONJ iajs-2516 6 81 boxjenkins boxjenkin NOUN iajs-2516 6 82 models model NOUN iajs-2516 6 83 on on ADP iajs-2516 6 84 a a DET iajs-2516 6 85 data datum NOUN iajs-2516 6 86 set set VERB iajs-2516 6 87 for for ADP iajs-2516 6 88 predict predict NOUN iajs-2516 6 89 . . PUNCT iajs-2516 7 1 comparisons comparison NOUN iajs-2516 7 2 between between ADP iajs-2516 7 3 the the DET iajs-2516 7 4 models model NOUN iajs-2516 7 5 has have AUX iajs-2516 7 6 been be AUX iajs-2516 7 7 performed perform VERB iajs-2516 7 8 using use VERB iajs-2516 7 9 criterion criterion NOUN iajs-2516 7 10 indicator indicator NOUN iajs-2516 7 11 akaike akaike ADP iajs-2516 7 12 information information NOUN iajs-2516 7 13 criterion criterion NOUN iajs-2516 7 14 , , PUNCT iajs-2516 7 15 mean mean ADJ iajs-2516 7 16 square square NOUN iajs-2516 7 17 of of ADP iajs-2516 7 18 error error NOUN iajs-2516 7 19 , , PUNCT iajs-2516 7 20 root root NOUN iajs-2516 7 21 mean mean NOUN iajs-2516 7 22 square square NOUN iajs-2516 7 23 of of ADP iajs-2516 7 24 error error NOUN iajs-2516 7 25 , , PUNCT iajs-2516 7 26 and and CCONJ iajs-2516 7 27 mean mean VERB iajs-2516 7 28 absolute absolute ADJ iajs-2516 7 29 percentage percentage NOUN iajs-2516 7 30 error error NOUN iajs-2516 7 31 , , PUNCT iajs-2516 7 32 concluding conclude VERB iajs-2516 7 33 that that SCONJ iajs-2516 7 34 the the DET iajs-2516 7 35 prediction prediction NOUN iajs-2516 7 36 for for ADP iajs-2516 7 37 patients patient NOUN iajs-2516 7 38 with with ADP iajs-2516 7 39 hypertension hypertension NOUN iajs-2516 7 40 by by ADP iajs-2516 7 41 using use VERB iajs-2516 7 42 artificial artificial ADJ iajs-2516 7 43 neural neural ADJ iajs-2516 7 44 networks network NOUN iajs-2516 7 45 model model NOUN iajs-2516 7 46 is be AUX iajs-2516 7 47 the the DET iajs-2516 7 48 best good ADJ iajs-2516 7 49 . . PUNCT iajs-2516 8 1 keywords keyword NOUN iajs-2516 8 2 : : PUNCT iajs-2516 8 3 hypertension hypertension NOUN iajs-2516 8 4 , , PUNCT iajs-2516 8 5 time time NOUN iajs-2516 8 6 series series NOUN iajs-2516 8 7 , , PUNCT iajs-2516 8 8 autoregressive autoregressive ADJ iajs-2516 8 9 - - PUNCT iajs-2516 8 10 integrated integrate VERB iajs-2516 8 11 - - PUNCT iajs-2516 8 12 moving move VERB iajs-2516 8 13 average average ADJ iajs-2516 8 14 model model NOUN iajs-2516 8 15 , , PUNCT iajs-2516 8 16 artificial artificial ADJ iajs-2516 8 17 neural neural ADJ iajs-2516 8 18 networks network NOUN iajs-2516 8 19 . . PUNCT iajs-2516 9 1 1.introduction 1.introduction NUM iajs-2516 9 2 last last ADJ iajs-2516 9 3 years year NOUN iajs-2516 9 4 , , PUNCT iajs-2516 9 5 after after ADP iajs-2516 9 6 increasing increase VERB iajs-2516 9 7 the the DET iajs-2516 9 8 number number NOUN iajs-2516 9 9 of of ADP iajs-2516 9 10 patients patient NOUN iajs-2516 9 11 with with ADP iajs-2516 9 12 chronic chronic ADJ iajs-2516 9 13 hypertension hypertension NOUN iajs-2516 9 14 disease disease NOUN iajs-2516 9 15 , , PUNCT iajs-2516 9 16 it it PRON iajs-2516 9 17 was be AUX iajs-2516 9 18 to to PART iajs-2516 9 19 be be AUX iajs-2516 9 20 highlighted highlight VERB iajs-2516 9 21 to to PART iajs-2516 9 22 study study VERB iajs-2516 9 23 this this DET iajs-2516 9 24 disease disease NOUN iajs-2516 9 25 and and CCONJ iajs-2516 9 26 the the DET iajs-2516 9 27 use use NOUN iajs-2516 9 28 of of ADP iajs-2516 9 29 statistical statistical ADJ iajs-2516 9 30 methods method NOUN iajs-2516 9 31 and and CCONJ iajs-2516 9 32 artificial artificial ADJ iajs-2516 9 33 intelligence intelligence NOUN iajs-2516 9 34 techniques technique NOUN iajs-2516 9 35 . . PUNCT iajs-2516 10 1 hypertension hypertension NOUN iajs-2516 10 2 is be AUX iajs-2516 10 3 defined define VERB iajs-2516 10 4 as as ADP iajs-2516 10 5 the the DET iajs-2516 10 6 abnormal abnormal ADJ iajs-2516 10 7 high high ADJ iajs-2516 10 8 blood blood NOUN iajs-2516 10 9 pressure pressure NOUN iajs-2516 10 10 ( ( PUNCT iajs-2516 10 11 more more ADJ iajs-2516 10 12 than than ADP iajs-2516 10 13 120/8 120/8 PROPN iajs-2516 10 14 mm mm NOUN iajs-2516 10 15 . . PUNCT iajs-2516 11 1 hg hg NOUN iajs-2516 11 2 ) ) PUNCT iajs-2516 11 3 in in ADP iajs-2516 11 4 the the DET iajs-2516 11 5 arteries artery NOUN iajs-2516 11 6 [ [ X iajs-2516 11 7 1 1 NUM iajs-2516 11 8 ] ] PUNCT iajs-2516 11 9 . . PUNCT iajs-2516 12 1 uncontrolled uncontrolled ADJ iajs-2516 12 2 high high ADJ iajs-2516 12 3 blood blood NOUN iajs-2516 12 4 pressure pressure NOUN iajs-2516 12 5 makes make VERB iajs-2516 12 6 you you PRON iajs-2516 12 7 more more ADV iajs-2516 12 8 likely likely ADJ iajs-2516 12 9 to to PART iajs-2516 12 10 get get VERB iajs-2516 12 11 heart heart NOUN iajs-2516 12 12 disease disease NOUN iajs-2516 12 13 , , PUNCT iajs-2516 12 14 stroke stroke NOUN iajs-2516 12 15 , , PUNCT iajs-2516 12 16 and and CCONJ iajs-2516 12 17 kidney kidney NOUN iajs-2516 12 18 disease disease NOUN iajs-2516 12 19 [ [ X iajs-2516 12 20 2 2 NUM iajs-2516 12 21 ] ] PUNCT iajs-2516 12 22 . . PUNCT iajs-2516 13 1 ibn ibn PROPN iajs-2516 13 2 al al PROPN iajs-2516 13 3 haitham haitham PROPN iajs-2516 13 4 journal journal PROPN iajs-2516 13 5 for for ADP iajs-2516 13 6 pure pure ADJ iajs-2516 13 7 and and CCONJ iajs-2516 13 8 applied apply VERB iajs-2516 13 9 science science NOUN iajs-2516 13 10 journal journal PROPN iajs-2516 13 11 homepage homepage NOUN iajs-2516 13 12 : : PUNCT iajs-2516 13 13 http://jih.uobaghdad.edu.iq/index.php/j/index http://jih.uobaghdad.edu.iq/index.php/j/index NOUN iajs-2516 13 14 doi doi NOUN iajs-2516 13 15 : : PUNCT iajs-2516 13 16 10.30526/33.4.2516 10.30526/33.4.2516 NUM iajs-2516 13 17 article article NOUN iajs-2516 13 18 history history NOUN iajs-2516 13 19 : : PUNCT iajs-2516 13 20 received receive VERB iajs-2516 13 21 7 7 NUM iajs-2516 13 22 january january NOUN iajs-2516 13 23 2020 2020 NUM iajs-2516 13 24 , , PUNCT iajs-2516 13 25 accepted accept VERB iajs-2516 13 26 20 20 NUM iajs-2516 13 27 february february NOUN iajs-2516 13 28 2020 2020 NUM iajs-2516 13 29 , , PUNCT iajs-2516 13 30 published publish VERB iajs-2516 13 31 in in ADP iajs-2516 13 32 october october PROPN iajs-2516 13 33 2020 2020 NUM iajs-2516 13 34     SPACE iajs-2516 13 35 111 111 NUM iajs-2516 13 36     SPACE iajs-2516 13 37 ibn ibn PROPN iajs-2516 13 38 al al PROPN iajs-2516 13 39 - - PUNCT iajs-2516 13 40 haitham haitham PROPN iajs-2516 13 41 jour jour X iajs-2516 13 42 . . PROPN iajs-2516 14 1 for for ADP iajs-2516 14 2 pure pure ADJ iajs-2516 14 3 & & CCONJ iajs-2516 14 4 appl appl PROPN iajs-2516 14 5 . . PUNCT iajs-2516 15 1 sci sci PROPN iajs-2516 15 2 . . PROPN iajs-2516 16 1 33 33 NUM iajs-2516 16 2 ( ( PUNCT iajs-2516 16 3 4 4 NUM iajs-2516 16 4 ) ) PUNCT iajs-2516 16 5 2020 2020 NUM iajs-2516 17 1 the the DET iajs-2516 17 2 time time NOUN iajs-2516 17 3 series series PROPN iajs-2516 17 4 forecasting forecasting NOUN iajs-2516 17 5 assumes assume VERB iajs-2516 17 6 that that SCONJ iajs-2516 17 7 the the DET iajs-2516 17 8 future future ADJ iajs-2516 17 9 values value NOUN iajs-2516 17 10 a a DET iajs-2516 17 11 linear linear ADJ iajs-2516 17 12 combination combination NOUN iajs-2516 17 13 of of ADP iajs-2516 17 14 historical historical ADJ iajs-2516 17 15 data datum NOUN iajs-2516 17 16 . . PUNCT iajs-2516 18 1 there there PRON iajs-2516 18 2 are be VERB iajs-2516 18 3 various various ADJ iajs-2516 18 4 time time NOUN iajs-2516 18 5 series series PROPN iajs-2516 18 6 forecasting forecasting NOUN iajs-2516 18 7 models model NOUN iajs-2516 18 8 ; ; PUNCT iajs-2516 18 9 however however ADV iajs-2516 18 10 , , PUNCT iajs-2516 18 11 the the DET iajs-2516 18 12 most most ADV iajs-2516 18 13 highly highly ADV iajs-2516 18 14 frequently frequently ADV iajs-2516 18 15 approach approach NOUN iajs-2516 18 16 to to PART iajs-2516 18 17 fit fit VERB iajs-2516 18 18 such such ADJ iajs-2516 18 19 model model NOUN iajs-2516 18 20 is be AUX iajs-2516 18 21 box box NOUN iajs-2516 18 22 and and CCONJ iajs-2516 18 23 jenkins jenkin NOUN iajs-2516 18 24 for for ADP iajs-2516 18 25 fitting fitting ADJ iajs-2516 18 26 arima arima PROPN iajs-2516 18 27 model model NOUN iajs-2516 18 28 . . PUNCT iajs-2516 19 1 box box PROPN iajs-2516 19 2 and and CCONJ iajs-2516 19 3 jenkins jenkins PROPN iajs-2516 19 4 ( ( PUNCT iajs-2516 19 5 1970 1970 NUM iajs-2516 19 6 ) ) PUNCT iajs-2516 19 7 generalized generalize VERB iajs-2516 19 8 the the DET iajs-2516 19 9 arim arim ADJ iajs-2516 19 10 model model NOUN iajs-2516 19 11 to to PART iajs-2516 19 12 deal deal VERB iajs-2516 19 13 with with ADP iajs-2516 19 14 seasonality seasonality NOUN iajs-2516 19 15 [ [ X iajs-2516 19 16 4 4 NUM iajs-2516 19 17 ] ] PUNCT iajs-2516 19 18 . . PUNCT iajs-2516 20 1 tiao tiao NOUN iajs-2516 20 2 and and CCONJ iajs-2516 20 3 box box PROPN iajs-2516 20 4 ( ( PUNCT iajs-2516 20 5 1979 1979 NUM iajs-2516 20 6 ) ) PUNCT iajs-2516 20 7 described describe VERB iajs-2516 20 8 a a DET iajs-2516 20 9 practical practical ADJ iajs-2516 20 10 to to ADP iajs-2516 20 11 arma arma NOUN iajs-2516 20 12 modeling modeling NOUN iajs-2516 20 13 of of ADP iajs-2516 20 14 multivariate multivariate NOUN iajs-2516 20 15 time time NOUN iajs-2516 20 16 series series PROPN iajs-2516 20 17 data datum NOUN iajs-2516 20 18 by by ADP iajs-2516 20 19 three three NUM iajs-2516 20 20 stages stage NOUN iajs-2516 20 21 : : PUNCT iajs-2516 20 22 identification identification NOUN iajs-2516 20 23 , , PUNCT iajs-2516 20 24 estimation estimation NOUN iajs-2516 20 25 of of ADP iajs-2516 20 26 the the DET iajs-2516 20 27 parameters parameter NOUN iajs-2516 20 28 and and CCONJ iajs-2516 20 29 model model NOUN iajs-2516 20 30 checking check VERB iajs-2516 21 1 [ [ X iajs-2516 21 2 5 5 NUM iajs-2516 21 3 ] ] PUNCT iajs-2516 21 4 . . PUNCT iajs-2516 22 1 artificial artificial ADJ iajs-2516 22 2 neural neural ADJ iajs-2516 22 3 network network NOUN iajs-2516 22 4 is be AUX iajs-2516 22 5 extensively extensively ADV iajs-2516 22 6 used use VERB iajs-2516 22 7 in in ADP iajs-2516 22 8 construction construction NOUN iajs-2516 22 9 industry industry NOUN iajs-2516 23 1 [ [ X iajs-2516 23 2 6 6 NUM iajs-2516 23 3 ] ] PUNCT iajs-2516 23 4 , , PUNCT iajs-2516 23 5 analyzing analyze VERB iajs-2516 23 6 the the DET iajs-2516 23 7 business business NOUN iajs-2516 23 8 data datum NOUN iajs-2516 23 9 stored store VERB iajs-2516 23 10 in in ADP iajs-2516 23 11 database database NOUN iajs-2516 23 12 [ [ X iajs-2516 23 13 7 7 NUM iajs-2516 23 14 - - SYM iajs-2516 23 15 8 8 NUM iajs-2516 23 16 ] ] PUNCT iajs-2516 23 17 , , PUNCT iajs-2516 23 18 robotics robotic NOUN iajs-2516 23 19 industry industry NOUN iajs-2516 23 20 systems system NOUN iajs-2516 23 21 , , PUNCT iajs-2516 23 22 decision decision NOUN iajs-2516 23 23 support support NOUN iajs-2516 23 24 systems system NOUN iajs-2516 23 25 , , PUNCT iajs-2516 23 26 automated automate VERB iajs-2516 23 27 control control NOUN iajs-2516 23 28 systems system NOUN iajs-2516 23 29 , , PUNCT iajs-2516 23 30 and and CCONJ iajs-2516 23 31 prediction prediction NOUN iajs-2516 23 32 systems system NOUN iajs-2516 24 1 [ [ X iajs-2516 24 2 9 9 NUM iajs-2516 24 3 ] ] PUNCT iajs-2516 24 4 . . PUNCT iajs-2516 25 1 artificial artificial ADJ iajs-2516 25 2 neural neural ADJ iajs-2516 25 3 network network NOUN iajs-2516 25 4 is be AUX iajs-2516 25 5 a a DET iajs-2516 25 6 calculation calculation NOUN iajs-2516 25 7 method method NOUN iajs-2516 25 8 resembling resemble VERB iajs-2516 25 9 the the DET iajs-2516 25 10 characteristic characteristic NOUN iajs-2516 25 11 of of ADP iajs-2516 25 12 the the DET iajs-2516 25 13 human human ADJ iajs-2516 25 14 neural neural ADJ iajs-2516 25 15 network network NOUN iajs-2516 25 16 . . PUNCT iajs-2516 26 1 the the DET iajs-2516 26 2 important important ADJ iajs-2516 26 3 characteristics characteristic NOUN iajs-2516 26 4 of of ADP iajs-2516 26 5 neural neural ADJ iajs-2516 26 6 network network NOUN iajs-2516 26 7 involve involve VERB iajs-2516 26 8 nonlinearity nonlinearity NOUN iajs-2516 26 9 , , PUNCT iajs-2516 26 10 capacity capacity NOUN iajs-2516 26 11 to to PART iajs-2516 26 12 handle handle VERB iajs-2516 26 13 large large ADJ iajs-2516 26 14 data datum NOUN iajs-2516 26 15 , , PUNCT iajs-2516 26 16 and and CCONJ iajs-2516 26 17 generalization generalization NOUN iajs-2516 26 18 [ [ X iajs-2516 26 19 10 10 NUM iajs-2516 26 20 ] ] PUNCT iajs-2516 26 21 . . PUNCT iajs-2516 27 1 the the DET iajs-2516 27 2 main main ADJ iajs-2516 27 3 aim aim NOUN iajs-2516 27 4 is be AUX iajs-2516 27 5 to to PART iajs-2516 27 6 choose choose VERB iajs-2516 27 7 the the DET iajs-2516 27 8 best good ADJ iajs-2516 27 9 and and CCONJ iajs-2516 27 10 efficient efficient ADJ iajs-2516 27 11 model model NOUN iajs-2516 27 12 for for ADP iajs-2516 27 13 forecasting forecast VERB iajs-2516 27 14 the the DET iajs-2516 27 15 number number NOUN iajs-2516 27 16 of of ADP iajs-2516 27 17 patients patient NOUN iajs-2516 27 18 with with ADP iajs-2516 27 19 hypertension hypertension NOUN iajs-2516 27 20 in in ADP iajs-2516 27 21 kalar kalar PROPN iajs-2516 27 22 . . PUNCT iajs-2516 28 1 through through ADP iajs-2516 28 2 the the DET iajs-2516 28 3 comparison comparison NOUN iajs-2516 28 4 between between ADP iajs-2516 28 5 neural neural ADJ iajs-2516 28 6 networks network NOUN iajs-2516 28 7 and and CCONJ iajs-2516 28 8 boxjenkins boxjenkin NOUN iajs-2516 28 9 models model NOUN iajs-2516 28 10 . . PUNCT iajs-2516 29 1 in in ADP iajs-2516 29 2 this this DET iajs-2516 29 3 paper paper NOUN iajs-2516 29 4 , , PUNCT iajs-2516 29 5 introduction introduction NOUN iajs-2516 29 6 , , PUNCT iajs-2516 29 7 autocorrelation autocorrelation NOUN iajs-2516 29 8 function function NOUN iajs-2516 29 9 , , PUNCT iajs-2516 29 10 partial partial ADJ iajs-2516 29 11 autocorrelation autocorrelation NOUN iajs-2516 29 12 function function NOUN iajs-2516 29 13 , , PUNCT iajs-2516 29 14 and and CCONJ iajs-2516 29 15 autoregressive autoregressive ADJ iajs-2516 29 16 moving move VERB iajs-2516 29 17 average average ADJ iajs-2516 29 18 model model NOUN iajs-2516 29 19 are be AUX iajs-2516 29 20 introduced introduce VERB iajs-2516 29 21 . . PUNCT iajs-2516 30 1 next next ADV iajs-2516 30 2 , , PUNCT iajs-2516 30 3 the the DET iajs-2516 30 4 neural neural ADJ iajs-2516 30 5 network network NOUN iajs-2516 30 6 model model NOUN iajs-2516 30 7 is be AUX iajs-2516 30 8 introduced introduce VERB iajs-2516 30 9 and and CCONJ iajs-2516 30 10 then then ADV iajs-2516 30 11 the the DET iajs-2516 30 12 results result NOUN iajs-2516 30 13 of of ADP iajs-2516 30 14 these these DET iajs-2516 30 15 models model NOUN iajs-2516 30 16 are be AUX iajs-2516 30 17 compared compare VERB iajs-2516 30 18 . . PUNCT iajs-2516 31 1 finally finally ADV iajs-2516 31 2 , , PUNCT iajs-2516 31 3 conclusions conclusion NOUN iajs-2516 31 4 and and CCONJ iajs-2516 31 5 recommendation recommendation NOUN iajs-2516 31 6 for for ADP iajs-2516 31 7 this this DET iajs-2516 31 8 study study NOUN iajs-2516 31 9 are be AUX iajs-2516 31 10 given give VERB iajs-2516 31 11 . . PUNCT iajs-2516 32 1 2.methodology 2.methodology NUM iajs-2516 32 2 2.1 2.1 NUM iajs-2516 32 3 . . PUNCT iajs-2516 33 1 autocorrelation autocorrelation NOUN iajs-2516 33 2 function function NOUN iajs-2516 33 3 ( ( PUNCT iajs-2516 33 4 acf acf PROPN iajs-2516 33 5 ) ) PUNCT iajs-2516 33 6 the the DET iajs-2516 33 7 autocorrelation autocorrelation NOUN iajs-2516 33 8 function function NOUN iajs-2516 33 9 is be AUX iajs-2516 33 10 the the DET iajs-2516 33 11 correlation correlation NOUN iajs-2516 33 12 of of ADP iajs-2516 33 13 time time NOUN iajs-2516 33 14 series series PROPN iajs-2516 33 15 𝑧 𝑧 PROPN iajs-2516 33 16 , , PUNCT iajs-2516 33 17 𝑧 𝑧 PROPN iajs-2516 33 18 , , PUNCT iajs-2516 33 19 … … PUNCT iajs-2516 33 20 . . PUNCT iajs-2516 34 1 , , PUNCT iajs-2516 34 2 𝑧 𝑧 X iajs-2516 34 3 with with ADP iajs-2516 34 4 itself itself PRON iajs-2516 34 5 . . PUNCT iajs-2516 35 1 the the DET iajs-2516 35 2 correlation correlation NOUN iajs-2516 35 3 coefficient coefficient NOUN iajs-2516 35 4 between between ADP iajs-2516 35 5 𝑧 𝑧 PROPN iajs-2516 35 6 and and CCONJ iajs-2516 35 7 𝑧 𝑧 PROPN iajs-2516 35 8 is be AUX iajs-2516 35 9 called call VERB iajs-2516 35 10 lag lag NOUN iajs-2516 35 11 - - PUNCT iajs-2516 35 12 k k NOUN iajs-2516 35 13 autocorrelation autocorrelation NOUN iajs-2516 35 14 of of ADP iajs-2516 35 15 𝑧 𝑧 PRON iajs-2516 35 16 and and CCONJ iajs-2516 35 17 denoted denote VERB iajs-2516 35 18 by by ADP iajs-2516 35 19 𝜌 𝜌 X iajs-2516 35 20 , , PUNCT iajs-2516 35 21 which which PRON iajs-2516 35 22 is be AUX iajs-2516 35 23 under under ADP iajs-2516 35 24 the the DET iajs-2516 35 25 assumption assumption NOUN iajs-2516 35 26 of of ADP iajs-2516 35 27 weak weak ADJ iajs-2516 35 28 stationary stationary NOUN iajs-2516 35 29 and and CCONJ iajs-2516 35 30 is be AUX iajs-2516 35 31 defined define VERB iajs-2516 35 32 [ [ PUNCT iajs-2516 35 33 4 4 NUM iajs-2516 35 34 ] ] PUNCT iajs-2516 35 35 , , PUNCT iajs-2516 35 36 [ [ X iajs-2516 35 37 11 11 NUM iajs-2516 35 38 ] ] SYM iajs-2516 35 39 : : PUNCT iajs-2516 35 40 𝜌 𝜌 PART iajs-2516 35 41 ∑ ∑ PART iajs-2516 35 42 ̅ ̅ NOUN iajs-2516 35 43 ̅ ̅ NOUN iajs-2516 35 44 ∑ ∑ NOUN iajs-2516 35 45 ̅ ̅ NOUN iajs-2516 35 46 , , PUNCT iajs-2516 35 47 𝑘 𝑘 PROPN iajs-2516 35 48 1,2 1,2 NUM iajs-2516 35 49 , , PUNCT iajs-2516 35 50 … … PUNCT iajs-2516 35 51 , , PUNCT iajs-2516 35 52 𝑚𝑎𝑥 𝑚𝑎𝑥 PRON iajs-2516 35 53 𝑘 𝑘 X iajs-2516 35 54 ( ( PUNCT iajs-2516 35 55 1 1 NUM iajs-2516 35 56 ) ) PUNCT iajs-2516 35 57 where where SCONJ iajs-2516 35 58 𝑧̅ 𝑧̅ VERB iajs-2516 35 59 ∑ ∑ VERB iajs-2516 35 60 𝛾 𝛾 ADP iajs-2516 35 61 𝑐𝑜𝑣 𝑐𝑜𝑣 NOUN iajs-2516 35 62 𝑧 𝑧 X iajs-2516 35 63 , , PUNCT iajs-2516 35 64 𝑧 𝑧 X iajs-2516 35 65 with with ADP iajs-2516 35 66 the the DET iajs-2516 35 67 following follow VERB iajs-2516 35 68 properties property NOUN iajs-2516 35 69 : : PUNCT iajs-2516 35 70 1 1 NUM iajs-2516 35 71 𝜌 𝜌 PART iajs-2516 35 72 1 1 NUM iajs-2516 35 73 𝜌 𝜌 PART iajs-2516 35 74 𝜌 𝜌 X iajs-2516 35 75 , , PUNCT iajs-2516 35 76 𝜌 𝜌 ADP iajs-2516 35 77 1 1 NUM iajs-2516 35 78 2.2 2.2 NUM iajs-2516 35 79 . . PUNCT iajs-2516 36 1 partial partial ADJ iajs-2516 36 2 autocorrelation autocorrelation NOUN iajs-2516 36 3 function function NOUN iajs-2516 36 4 ( ( PUNCT iajs-2516 36 5 pacf pacf NOUN iajs-2516 36 6 ) ) PUNCT iajs-2516 36 7 the the DET iajs-2516 36 8 correlation correlation NOUN iajs-2516 36 9 coefficient coefficient NOUN iajs-2516 36 10 between between ADP iajs-2516 36 11 𝑧 𝑧 PROPN iajs-2516 36 12 and and CCONJ iajs-2516 36 13 𝑧 𝑧 X iajs-2516 36 14 after after ADP iajs-2516 36 15 removing remove VERB iajs-2516 36 16 the the DET iajs-2516 36 17 impact impact NOUN iajs-2516 36 18 of of ADP iajs-2516 36 19 the the DET iajs-2516 36 20 intervening intervene VERB iajs-2516 36 21 𝑧 𝑧 PRON iajs-2516 36 22 , , PUNCT iajs-2516 36 23 𝑧 𝑧 PROPN iajs-2516 36 24 , , PUNCT iajs-2516 36 25 … … PUNCT iajs-2516 36 26 . . PUNCT iajs-2516 36 27 , , PUNCT iajs-2516 36 28 𝑧 𝑧 PROPN iajs-2516 36 29 is be AUX iajs-2516 36 30 called call VERB iajs-2516 36 31 partial partial ADJ iajs-2516 36 32 autocorrelation autocorrelation NOUN iajs-2516 36 33 function function NOUN iajs-2516 36 34 at at ADP iajs-2516 36 35 lagk lagk NOUN iajs-2516 36 36 , , PUNCT iajs-2516 36 37 denoted denote VERB iajs-2516 36 38 by by ADP iajs-2516 36 39 𝜙 𝜙 PROPN iajs-2516 36 40 , , PUNCT iajs-2516 36 41 and and CCONJ iajs-2516 36 42 defined(12 defined(12 NOUN iajs-2516 36 43 ): ): PUNCT iajs-2516 36 44     SPACE iajs-2516 36 45 112 112 NUM iajs-2516 36 46     SPACE iajs-2516 36 47 ibn ibn PROPN iajs-2516 36 48 al al PROPN iajs-2516 36 49 - - PUNCT iajs-2516 36 50 haitham haitham PROPN iajs-2516 36 51 jour jour X iajs-2516 36 52 . . PROPN iajs-2516 37 1 for for ADP iajs-2516 37 2 pure pure ADJ iajs-2516 37 3 & & CCONJ iajs-2516 37 4 appl appl PROPN iajs-2516 37 5 . . PUNCT iajs-2516 38 1 sci sci PROPN iajs-2516 38 2 . . PROPN iajs-2516 39 1 33 33 NUM iajs-2516 39 2 ( ( PUNCT iajs-2516 39 3 4 4 NUM iajs-2516 39 4 ) ) PUNCT iajs-2516 39 5 2020 2020 NUM iajs-2516 40 1 ϕ ϕ X iajs-2516 40 2 ⎩ ⎩ NUM iajs-2516 40 3 ⎪ ⎪ NOUN iajs-2516 40 4 ⎪ ⎪ NOUN iajs-2516 40 5 ⎨ ⎨ PROPN iajs-2516 40 6 ⎪ ⎪ NOUN iajs-2516 40 7 ⎪ ⎪ NOUN iajs-2516 40 8 ⎧ ⎧ PROPN iajs-2516 40 9 1 1 NUM iajs-2516 40 10 , , PUNCT iajs-2516 40 11 k k PROPN iajs-2516 40 12 0 0 PROPN iajs-2516 40 13 ρ ρ PROPN iajs-2516 40 14 , , PUNCT iajs-2516 40 15 k k PROPN iajs-2516 40 16 1 1 NUM iajs-2516 40 17 . . PUNCT iajs-2516 40 18 . . PUNCT iajs-2516 40 19 . . PUNCT iajs-2516 40 20 . . PUNCT iajs-2516 40 21 . . PUNCT iajs-2516 40 22 . . PUNCT iajs-2516 40 23 . . PUNCT iajs-2516 40 24 . . PUNCT iajs-2516 40 25 . . PUNCT iajs-2516 40 26 . . PUNCT iajs-2516 40 27 . . PUNCT iajs-2516 40 28 . . PUNCT iajs-2516 40 29 . . PUNCT iajs-2516 40 30 . . PUNCT iajs-2516 40 31 . . PUNCT iajs-2516 40 32 . . PUNCT iajs-2516 40 33 . . PUNCT iajs-2516 40 34 .. .. PUNCT iajs-2516 40 35 . . PUNCT iajs-2516 40 36 . . PUNCT iajs-2516 40 37 . . PUNCT iajs-2516 40 38 . . PUNCT iajs-2516 40 39 . . PUNCT iajs-2516 40 40 . . PUNCT iajs-2516 40 41 .. .. PUNCT iajs-2516 40 42 . . PUNCT iajs-2516 40 43 . . PUNCT iajs-2516 40 44 . . PUNCT iajs-2516 40 45 . . PUNCT iajs-2516 40 46 . . PUNCT iajs-2516 40 47 . . PUNCT iajs-2516 40 48 . . PUNCT iajs-2516 40 49 . . PUNCT iajs-2516 40 50 . . PUNCT iajs-2516 40 51 . . PUNCT iajs-2516 40 52 . . PUNCT iajs-2516 40 53 . . PUNCT iajs-2516 40 54 . . PUNCT iajs-2516 40 55 . . PUNCT iajs-2516 40 56 . . PUNCT iajs-2516 40 57 . . PUNCT iajs-2516 40 58 . . PUNCT iajs-2516 40 59 .. .. PUNCT iajs-2516 40 60 . . PUNCT iajs-2516 40 61 . . PUNCT iajs-2516 40 62 . . PUNCT iajs-2516 40 63 . . PUNCT iajs-2516 40 64 . . PUNCT iajs-2516 40 65 . . PUNCT iajs-2516 40 66 . . PUNCT iajs-2516 41 1 . . PUNCT iajs-2516 41 2 0 0 NUM iajs-2516 42 1 , , PUNCT iajs-2516 42 2 k k PROPN iajs-2516 42 3 2 2 NUM iajs-2516 42 4 ( ( PUNCT iajs-2516 42 5 2 2 NUM iajs-2516 42 6 ) ) PUNCT iajs-2516 42 7 calculating calculate VERB iajs-2516 42 8 partial partial ADJ iajs-2516 42 9 autocorrelation autocorrelation NOUN iajs-2516 42 10 function function NOUN iajs-2516 42 11 of of ADP iajs-2516 42 12 sample sample NOUN iajs-2516 42 13 form form NOUN iajs-2516 42 14 : : PUNCT iajs-2516 42 15 ϕ ϕ NOUN iajs-2516 42 16 ∑ ∑ PROPN iajs-2516 42 17 , , PUNCT iajs-2516 42 18 𝟏 𝟏 NUM iajs-2516 42 19 ∑ ∑ PUNCT iajs-2516 42 20 , , PUNCT iajs-2516 42 21 ( ( PUNCT iajs-2516 42 22 3 3 X iajs-2516 42 23 ) ) PUNCT iajs-2516 42 24 where where SCONJ iajs-2516 42 25 ϕ ϕ PROPN iajs-2516 42 26 ϕ ϕ PROPN iajs-2516 42 27 , , PUNCT iajs-2516 42 28 ϕ ϕ PROPN iajs-2516 42 29 ϕ ϕ PROPN iajs-2516 42 30 , , PUNCT iajs-2516 42 31 , , PUNCT iajs-2516 42 32 j j PROPN iajs-2516 42 33 1,2 1,2 NUM iajs-2516 42 34 , , PUNCT iajs-2516 42 35 … … PUNCT iajs-2516 42 36 , , PUNCT iajs-2516 42 37 k k PROPN iajs-2516 42 38 1 1 NUM iajs-2516 42 39 2.3 2.3 NUM iajs-2516 42 40 . . PUNCT iajs-2516 42 41 autoregressive autoregressive ADJ iajs-2516 42 42 moving move VERB iajs-2516 42 43 average average ADJ iajs-2516 42 44 model model NOUN iajs-2516 42 45 ( ( PUNCT iajs-2516 42 46 arma arma PROPN iajs-2516 42 47 ) ) PUNCT iajs-2516 42 48 the the DET iajs-2516 42 49 autoregressive autoregressive ADJ iajs-2516 42 50 moving move VERB iajs-2516 42 51 average average ADJ iajs-2516 42 52 model model NOUN iajs-2516 42 53 is be AUX iajs-2516 42 54 denoted denote VERB iajs-2516 42 55 by by ADP iajs-2516 42 56 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 42 57 𝑝 𝑝 PROPN iajs-2516 42 58 , , PUNCT iajs-2516 42 59 𝑑 𝑑 PROPN iajs-2516 42 60 , , PUNCT iajs-2516 42 61 𝑞 𝑞 PROPN iajs-2516 42 62 where where SCONJ iajs-2516 42 63 𝑝 𝑝 NOUN iajs-2516 42 64 : : PUNCT iajs-2516 42 65 the the DET iajs-2516 42 66 order order NOUN iajs-2516 42 67 of of ADP iajs-2516 42 68 autoregressive autoregressive ADJ iajs-2516 42 69 . . PUNCT iajs-2516 43 1 𝑞 𝑞 X iajs-2516 43 2 : : PUNCT iajs-2516 43 3 the the DET iajs-2516 43 4 order order NOUN iajs-2516 43 5 of of ADP iajs-2516 43 6 moving move VERB iajs-2516 43 7 average average ADJ iajs-2516 43 8 . . PUNCT iajs-2516 44 1 𝑑 𝑑 X iajs-2516 44 2 : : PUNCT iajs-2516 44 3 the the DET iajs-2516 44 4 order order NOUN iajs-2516 44 5 of of ADP iajs-2516 44 6 non non ADJ iajs-2516 44 7 - - ADJ iajs-2516 44 8 seasonality seasonality ADJ iajs-2516 44 9 difference difference NOUN iajs-2516 44 10 . . PUNCT iajs-2516 45 1 for for ADP iajs-2516 45 2 stationary stationary ADJ iajs-2516 45 3 time time NOUN iajs-2516 45 4 series series NOUN iajs-2516 45 5 , , PUNCT iajs-2516 45 6 the the DET iajs-2516 45 7 general general ADJ iajs-2516 45 8 form form NOUN iajs-2516 45 9 of of ADP iajs-2516 45 10 an an DET iajs-2516 45 11 arma arma NOUN iajs-2516 45 12 model model NOUN iajs-2516 45 13 can can AUX iajs-2516 45 14 be be AUX iajs-2516 45 15 written write VERB iajs-2516 45 16 as as ADP iajs-2516 45 17 : : PUNCT iajs-2516 45 18 𝜙 𝜙 PROPN iajs-2516 45 19 𝐵 𝐵 NOUN iajs-2516 45 20 𝑥 𝑥 PROPN iajs-2516 45 21 𝛿 𝛿 ADJ iajs-2516 45 22 𝜃 𝜃 NOUN iajs-2516 45 23 𝐵 𝐵 NOUN iajs-2516 45 24 𝑎 𝑎 X iajs-2516 45 25 ( ( PUNCT iajs-2516 45 26 4 4 NUM iajs-2516 45 27 ) ) PUNCT iajs-2516 45 28 a a DET iajs-2516 45 29 non non ADJ iajs-2516 45 30 - - ADJ iajs-2516 45 31 stationary stationary ADJ iajs-2516 45 32 series series NOUN iajs-2516 45 33 should should AUX iajs-2516 45 34 be be AUX iajs-2516 45 35 first first ADV iajs-2516 45 36 transformed transform VERB iajs-2516 45 37 into into ADP iajs-2516 45 38 a a DET iajs-2516 45 39 stationary stationary ADJ iajs-2516 45 40 one one NUM iajs-2516 45 41 by by ADP iajs-2516 45 42 considering consider VERB iajs-2516 45 43 relevant relevant ADJ iajs-2516 45 44 differences difference NOUN iajs-2516 45 45 : : PUNCT iajs-2516 45 46 ∇ ∇ PROPN iajs-2516 46 1 𝑥 𝑥 X iajs-2516 46 2 1 1 NUM iajs-2516 46 3 𝐵 𝐵 NOUN iajs-2516 46 4 𝑥 𝑥 ADP iajs-2516 46 5 𝑥 𝑥 X iajs-2516 46 6 𝑥 𝑥 X iajs-2516 46 7 ( ( PUNCT iajs-2516 46 8 5 5 NUM iajs-2516 46 9 ) ) SYM iajs-2516 46 10 1 1 NUM iajs-2516 46 11 𝐵 𝐵 NOUN iajs-2516 46 12 : : PUNCT iajs-2516 46 13 the the DET iajs-2516 46 14 d d X iajs-2516 46 15 th th NUM iajs-2516 46 16 difference difference NOUN iajs-2516 46 17 . . PUNCT iajs-2516 47 1 b b X iajs-2516 47 2 : : PUNCT iajs-2516 47 3 the the DET iajs-2516 47 4 backward backward ADJ iajs-2516 47 5 shift shift NOUN iajs-2516 47 6 operator operator NOUN iajs-2516 47 7 . . PUNCT iajs-2516 48 1 for for ADP iajs-2516 48 2 nonstationary nonstationary ADJ iajs-2516 48 3 time time NOUN iajs-2516 48 4 series series NOUN iajs-2516 48 5 , , PUNCT iajs-2516 48 6 the the DET iajs-2516 48 7 general general ADJ iajs-2516 48 8 form form NOUN iajs-2516 48 9 of of ADP iajs-2516 48 10 an an DET iajs-2516 48 11 arma arma NOUN iajs-2516 48 12 model model NOUN iajs-2516 48 13 can can AUX iajs-2516 48 14 be be AUX iajs-2516 48 15 written write VERB iajs-2516 48 16 as as ADP iajs-2516 48 17 [ [ X iajs-2516 48 18 12 12 NUM iajs-2516 48 19 ] ] PUNCT iajs-2516 48 20 , , PUNCT iajs-2516 48 21 [ [ X iajs-2516 48 22 13 13 NUM iajs-2516 48 23 ] ] PUNCT iajs-2516 48 24 : : PUNCT iajs-2516 48 25 𝜙 𝜙 PROPN iajs-2516 48 26 𝐵 𝐵 NOUN iajs-2516 48 27 1 1 NUM iajs-2516 48 28 𝐵 𝐵 NOUN iajs-2516 48 29 𝑥 𝑥 PROPN iajs-2516 48 30 𝛿 𝛿 ADJ iajs-2516 48 31 𝜃 𝜃 PUNCT iajs-2516 48 32 𝐵 𝐵 NOUN iajs-2516 48 33 𝑎 𝑎 X iajs-2516 48 34 ( ( PUNCT iajs-2516 48 35 6 6 NUM iajs-2516 48 36 ) ) PUNCT iajs-2516 48 37 where where SCONJ iajs-2516 48 38 𝜙 𝜙 PROPN iajs-2516 48 39 𝐵 𝐵 NOUN iajs-2516 48 40 1 1 NUM iajs-2516 48 41 𝜙 𝜙 NOUN iajs-2516 48 42 𝐵 𝐵 NOUN iajs-2516 48 43 𝜙 𝜙 NOUN iajs-2516 48 44 𝐵 𝐵 NOUN iajs-2516 48 45 ⋯ ⋯ ADP iajs-2516 48 46 𝜙 𝜙 PROPN iajs-2516 48 47 𝐵 𝐵 PROPN iajs-2516 48 48 , , PUNCT iajs-2516 48 49 is be AUX iajs-2516 48 50 the the DET iajs-2516 48 51 autoregressive autoregressive ADJ iajs-2516 48 52 operator operator NOUN iajs-2516 48 53 of of ADP iajs-2516 48 54 order order NOUN iajs-2516 49 1 p. p. NOUN iajs-2516 49 2 𝜃 𝜃 NUM iajs-2516 50 1 𝐵 𝐵 NOUN iajs-2516 50 2 1 1 NUM iajs-2516 50 3 𝜃 𝜃 NUM iajs-2516 50 4 𝐵 𝐵 NOUN iajs-2516 50 5 𝜃 𝜃 NOUN iajs-2516 50 6 𝐵 𝐵 NOUN iajs-2516 50 7 ⋯ ⋯ ADP iajs-2516 50 8 𝜃 𝜃 PROPN iajs-2516 50 9 𝐵 𝐵 NOUN iajs-2516 50 10 , , PUNCT iajs-2516 50 11 is be AUX iajs-2516 50 12 the the DET iajs-2516 50 13 moving move VERB iajs-2516 50 14 average average ADJ iajs-2516 50 15 operator operator NOUN iajs-2516 50 16 of of ADP iajs-2516 50 17 order order NOUN iajs-2516 50 18 q. q. NOUN iajs-2516 50 19 𝑎 𝑎 PRON iajs-2516 50 20 𝑁𝐼𝐷 𝑁𝐼𝐷 PROPN iajs-2516 50 21 0 0 NUM iajs-2516 50 22 , , PUNCT iajs-2516 50 23 𝜎 𝜎 PROPN iajs-2516 50 24 ( ( PUNCT iajs-2516 50 25 7 7 NUM iajs-2516 50 26 ) ) PUNCT iajs-2516 50 27 2.4 2.4 NUM iajs-2516 50 28 . . PUNCT iajs-2516 51 1 model model NOUN iajs-2516 51 2 building build VERB iajs-2516 51 3 the the DET iajs-2516 51 4 box box PROPN iajs-2516 51 5 – – PUNCT iajs-2516 51 6 jenkins jenkins PROPN iajs-2516 51 7 iterative iterative NOUN iajs-2516 51 8 approach approach NOUN iajs-2516 51 9 for for ADP iajs-2516 51 10 constructing construct VERB iajs-2516 51 11 linear linear NOUN iajs-2516 51 12 time time NOUN iajs-2516 51 13 series series NOUN iajs-2516 51 14 models model NOUN iajs-2516 51 15 consists consist VERB iajs-2516 51 16 of of ADP iajs-2516 51 17 four four NUM iajs-2516 51 18 stages stage NOUN iajs-2516 51 19 [ [ X iajs-2516 51 20 3 3 NUM iajs-2516 51 21 ] ] PUNCT iajs-2516 51 22 , , PUNCT iajs-2516 51 23 [ [ X iajs-2516 51 24 12 12 NUM iajs-2516 51 25 ] ] NOUN iajs-2516 51 26 : : PUNCT iajs-2516 51 27 identification identification NOUN iajs-2516 51 28 , , PUNCT iajs-2516 51 29 estimation estimation NOUN iajs-2516 51 30 of of ADP iajs-2516 51 31 the the DET iajs-2516 51 32 parameters parameter NOUN iajs-2516 51 33 , , PUNCT iajs-2516 51 34 diagnostic diagnostic ADJ iajs-2516 51 35 checking checking NOUN iajs-2516 51 36 and and CCONJ iajs-2516 51 37 forecasting forecasting NOUN iajs-2516 51 38 . . PUNCT iajs-2516 52 1 the the DET iajs-2516 52 2 identification identification NOUN iajs-2516 52 3 stage stage NOUN iajs-2516 52 4 is be AUX iajs-2516 52 5 the the DET iajs-2516 52 6 most most ADV iajs-2516 52 7 important important ADJ iajs-2516 52 8 . . PUNCT iajs-2516 53 1 it it PRON iajs-2516 53 2 consists consist VERB iajs-2516 53 3 of of ADP iajs-2516 53 4 the the DET iajs-2516 53 5 appropriate appropriate ADJ iajs-2516 53 6 model model NOUN iajs-2516 53 7 from from ADP iajs-2516 53 8 arima arima NOUN iajs-2516 53 9 models model NOUN iajs-2516 53 10 . . PUNCT iajs-2516 53 11     SPACE iajs-2516 54 1 113 113 NUM iajs-2516 54 2     SPACE iajs-2516 54 3 ibn ibn PROPN iajs-2516 54 4 al al PROPN iajs-2516 54 5 - - PUNCT iajs-2516 54 6 haitham haitham PROPN iajs-2516 54 7 jour jour X iajs-2516 54 8 . . PROPN iajs-2516 54 9 for for ADP iajs-2516 54 10 pure pure ADJ iajs-2516 54 11 & & CCONJ iajs-2516 54 12 appl appl PROPN iajs-2516 54 13 . . 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PUNCT iajs-2516 62 1 human human ADJ iajs-2516 62 2 brain brain NOUN iajs-2516 62 3 is be AUX iajs-2516 62 4 highly highly ADV iajs-2516 62 5 complex complex ADJ iajs-2516 62 6 , , PUNCT iajs-2516 62 7 nonlinear nonlinear ADJ iajs-2516 62 8 and and CCONJ iajs-2516 62 9 parallel parallel ADJ iajs-2516 62 10 computer computer NOUN iajs-2516 62 11 [ [ X iajs-2516 62 12 15 15 NUM iajs-2516 62 13 ] ] PUNCT iajs-2516 62 14 . . PUNCT iajs-2516 63 1 the the DET iajs-2516 63 2 human human ADJ iajs-2516 63 3 brain brain NOUN iajs-2516 63 4 includes include VERB iajs-2516 63 5 about about ADV iajs-2516 63 6 100 100 NUM iajs-2516 63 7 billion billion NUM iajs-2516 63 8 neurons neuron NOUN iajs-2516 63 9 . . PUNCT iajs-2516 64 1 the the DET iajs-2516 64 2 mean mean ADJ iajs-2516 64 3 neuron neuron NOUN iajs-2516 64 4 is be AUX iajs-2516 64 5 as as ADV iajs-2516 64 6 complex complex ADJ iajs-2516 64 7 as as ADP iajs-2516 64 8 a a DET iajs-2516 64 9 small small ADJ iajs-2516 64 10 computer computer NOUN iajs-2516 64 11 and and CCONJ iajs-2516 64 12 has have VERB iajs-2516 64 13 as as ADV iajs-2516 64 14 many many ADJ iajs-2516 64 15 as as ADP iajs-2516 64 16 10000 10000 NUM iajs-2516 64 17 physical physical ADJ iajs-2516 64 18 connections connection NOUN iajs-2516 64 19 with with ADP iajs-2516 64 20 other other ADJ iajs-2516 64 21 cells cell NOUN iajs-2516 64 22 [ [ X iajs-2516 64 23 16 16 NUM iajs-2516 64 24 ] ] PUNCT iajs-2516 64 25 . . PUNCT iajs-2516 65 1 a a DET iajs-2516 65 2 neuron neuron NOUN iajs-2516 65 3 contains contain VERB iajs-2516 65 4 of of ADP iajs-2516 65 5 four four NUM iajs-2516 65 6 parts part NOUN iajs-2516 65 7 called call VERB iajs-2516 65 8 cell cell NOUN iajs-2516 65 9 body body NOUN iajs-2516 65 10 , , PUNCT iajs-2516 65 11 dendrites dendrite NOUN iajs-2516 65 12 , , PUNCT iajs-2516 65 13 axon axon NOUN iajs-2516 65 14 , , PUNCT iajs-2516 65 15 and and CCONJ iajs-2516 65 16 synapses synapse VERB iajs-2516 65 17 [ [ X iajs-2516 65 18 14 14 NUM iajs-2516 65 19 ] ] PUNCT iajs-2516 65 20 , , PUNCT iajs-2516 65 21 [ [ X iajs-2516 65 22 17 17 NUM iajs-2516 65 23 ] ] PUNCT iajs-2516 65 24 . . PUNCT iajs-2516 66 1 figure figure NOUN iajs-2516 66 2 1 1 NUM iajs-2516 66 3 : : PUNCT iajs-2516 66 4 biological biological ADJ iajs-2516 66 5 neural neural ADJ iajs-2516 66 6 network network NOUN iajs-2516 66 7 2.5.2 2.5.2 NUM iajs-2516 66 8 artificial artificial ADJ iajs-2516 66 9 neural neural ADJ iajs-2516 66 10 network network NOUN iajs-2516 66 11 ( ( PUNCT iajs-2516 66 12 ann ann PROPN iajs-2516 66 13 ) ) PUNCT iajs-2516 66 14 artificial artificial ADJ iajs-2516 66 15 neural neural ADJ iajs-2516 66 16 network network NOUN iajs-2516 66 17 is be AUX iajs-2516 66 18 a a DET iajs-2516 66 19 computational computational ADJ iajs-2516 66 20 model model NOUN iajs-2516 66 21 that that PRON iajs-2516 66 22 functions function NOUN iajs-2516 66 23 like like ADP iajs-2516 66 24 a a DET iajs-2516 66 25 human human ADJ iajs-2516 66 26 brain brain NOUN iajs-2516 66 27 through through ADP iajs-2516 66 28 biological biological ADJ iajs-2516 66 29 neurons neuron NOUN iajs-2516 66 30 [ [ X iajs-2516 66 31 18 18 NUM iajs-2516 66 32 ] ] PUNCT iajs-2516 66 33 . . PUNCT iajs-2516 67 1 the the DET iajs-2516 67 2 artificial artificial ADJ iajs-2516 67 3 neural neural ADJ iajs-2516 67 4 networks network NOUN iajs-2516 67 5 perform perform VERB iajs-2516 67 6 helpful helpful ADJ iajs-2516 67 7 calculations calculation NOUN iajs-2516 67 8 and and CCONJ iajs-2516 67 9 simulate simulate VERB iajs-2516 67 10 complex complex ADJ iajs-2516 67 11 modeling modeling NOUN iajs-2516 67 12 in in ADP iajs-2516 67 13 the the DET iajs-2516 67 14 functioning functioning NOUN iajs-2516 67 15 of of ADP iajs-2516 67 16 the the DET iajs-2516 67 17 human human ADJ iajs-2516 67 18 brain brain NOUN iajs-2516 67 19 . . PUNCT iajs-2516 68 1 the the DET iajs-2516 68 2 first first ADJ iajs-2516 68 3 artificial artificial ADJ iajs-2516 68 4 neuron neuron NOUN iajs-2516 68 5 model model NOUN iajs-2516 68 6 was be AUX iajs-2516 68 7 proposed propose VERB iajs-2516 68 8 in in ADP iajs-2516 68 9 1943 1943 NUM iajs-2516 68 10 by by ADP iajs-2516 68 11 mcculloch mcculloch NOUN iajs-2516 68 12 and and CCONJ iajs-2516 68 13 pitts pitt NOUN iajs-2516 68 14 [ [ X iajs-2516 68 15 19 19 NUM iajs-2516 68 16 - - SYM iajs-2516 68 17 20 20 NUM iajs-2516 68 18 ] ] PUNCT iajs-2516 68 19 . . PUNCT iajs-2516 69 1 the the DET iajs-2516 69 2 neural neural ADJ iajs-2516 69 3 networks network NOUN iajs-2516 69 4 approach approach NOUN iajs-2516 69 5 is be AUX iajs-2516 69 6 widely widely ADV iajs-2516 69 7 applied apply VERB iajs-2516 69 8 in in ADP iajs-2516 69 9 biological biological ADJ iajs-2516 69 10 , , PUNCT iajs-2516 69 11 engineering engineering NOUN iajs-2516 69 12 , , PUNCT iajs-2516 69 13 medical medical ADJ iajs-2516 69 14 , , PUNCT iajs-2516 69 15 financial financial ADJ iajs-2516 69 16 [ [ X iajs-2516 69 17 21 21 NUM iajs-2516 69 18 ] ] PUNCT iajs-2516 69 19 . . PUNCT iajs-2516 70 1 the the DET iajs-2516 70 2 artificial artificial ADJ iajs-2516 70 3 neural neural ADJ iajs-2516 70 4 network network NOUN iajs-2516 70 5 can can AUX iajs-2516 70 6 be be AUX iajs-2516 70 7 designed design VERB iajs-2516 70 8 using use VERB iajs-2516 70 9 either either CCONJ iajs-2516 70 10 feed feed VERB iajs-2516 70 11 forward forward ADV iajs-2516 70 12 or or CCONJ iajs-2516 70 13 fed feed VERB iajs-2516 70 14 back back ADP iajs-2516 70 15 approach approach NOUN iajs-2516 70 16 . . PUNCT iajs-2516 71 1 there there PRON iajs-2516 71 2 are be VERB iajs-2516 71 3 three three NUM iajs-2516 71 4 types type NOUN iajs-2516 71 5 of of ADP iajs-2516 71 6 layers layer NOUN iajs-2516 71 7 , , PUNCT iajs-2516 71 8 input input NOUN iajs-2516 71 9 layer layer NOUN iajs-2516 71 10 , , PUNCT iajs-2516 71 11 hidden hide VERB iajs-2516 71 12 layer layer NOUN iajs-2516 71 13 , , PUNCT iajs-2516 71 14 and and CCONJ iajs-2516 71 15 output output NOUN iajs-2516 71 16 layer layer NOUN iajs-2516 71 17 in in ADP iajs-2516 71 18 an an DET iajs-2516 71 19 artificial artificial ADJ iajs-2516 71 20 neural neural ADJ iajs-2516 71 21 network network NOUN iajs-2516 71 22 [ [ X iajs-2516 71 23 9 9 NUM iajs-2516 71 24 - - SYM iajs-2516 71 25 10 10 NUM iajs-2516 71 26 ] ] PUNCT iajs-2516 71 27 , , PUNCT iajs-2516 71 28 as as SCONJ iajs-2516 71 29 shown show VERB iajs-2516 71 30 in in ADP iajs-2516 71 31 figure figure NOUN iajs-2516 71 32 2 2 NUM iajs-2516 71 33 . . PUNCT iajs-2516 71 34     SPACE iajs-2516 71 35 114 114 NUM iajs-2516 71 36     SPACE iajs-2516 71 37 ibn ibn PROPN iajs-2516 71 38 al al PROPN iajs-2516 71 39 - - PUNCT iajs-2516 71 40 haitham haitham PROPN iajs-2516 71 41 jour jour X iajs-2516 71 42 . . PROPN iajs-2516 72 1 for for ADP iajs-2516 72 2 pure pure ADJ iajs-2516 72 3 & & CCONJ iajs-2516 72 4 appl appl PROPN iajs-2516 72 5 . . PUNCT iajs-2516 73 1 sci sci PROPN iajs-2516 73 2 . . PROPN iajs-2516 74 1 33 33 NUM iajs-2516 74 2 ( ( PUNCT iajs-2516 74 3 4 4 NUM iajs-2516 74 4 ) ) PUNCT iajs-2516 74 5 2020 2020 NUM iajs-2516 74 6 figure figure VERB iajs-2516 74 7 2 2 NUM iajs-2516 74 8 : : PUNCT iajs-2516 74 9 artificial artificial ADJ iajs-2516 74 10 neural neural ADJ iajs-2516 74 11 network network NOUN iajs-2516 74 12 a a DET iajs-2516 74 13 statistical statistical ADJ iajs-2516 74 14 model model NOUN iajs-2516 74 15 is be AUX iajs-2516 74 16 [ [ X iajs-2516 74 17 7 7 NUM iajs-2516 74 18 ] ] PUNCT iajs-2516 74 19 , , PUNCT iajs-2516 75 1 [ [ X iajs-2516 75 2 16 16 NUM iajs-2516 75 3 ] ] X iajs-2516 75 4 : : PUNCT iajs-2516 75 5 𝑦 𝑦 X iajs-2516 75 6 𝑓 𝑓 ADV iajs-2516 75 7 𝑎 𝑎 X iajs-2516 75 8 ( ( PUNCT iajs-2516 75 9 10 10 NUM iajs-2516 75 10 ) ) PUNCT iajs-2516 75 11 where where SCONJ iajs-2516 75 12 𝑦 𝑦 NOUN iajs-2516 75 13 is be AUX iajs-2516 75 14 the the DET iajs-2516 75 15 output output NOUN iajs-2516 75 16 of of ADP iajs-2516 75 17 the the DET iajs-2516 75 18 nth nth NOUN iajs-2516 75 19 layer layer NOUN iajs-2516 75 20 ; ; PUNCT iajs-2516 75 21 𝑓 𝑓 DET iajs-2516 75 22 𝑎 𝑎 NOUN iajs-2516 75 23 is be AUX iajs-2516 75 24 the the DET iajs-2516 75 25 activation activation NOUN iajs-2516 75 26 function function VERB iajs-2516 75 27 widely widely ADV iajs-2516 75 28 employed employ VERB iajs-2516 75 29 by by ADP iajs-2516 75 30 the the DET iajs-2516 75 31 logistic logistic ADJ iajs-2516 75 32 sigmoid sigmoid NOUN iajs-2516 75 33 , , PUNCT iajs-2516 75 34 hyperbolic hyperbolic ADJ iajs-2516 75 35 tangent tangent NOUN iajs-2516 75 36 sigmoid sigmoid NOUN iajs-2516 75 37 and and CCONJ iajs-2516 75 38 squared squared ADJ iajs-2516 75 39 functions function NOUN iajs-2516 75 40 [ [ X iajs-2516 75 41 9 9 NUM iajs-2516 75 42 ] ] PUNCT iajs-2516 75 43 , , PUNCT iajs-2516 75 44 [ [ X iajs-2516 75 45 21 21 NUM iajs-2516 75 46 ] ] PUNCT iajs-2516 75 47 . . PUNCT iajs-2516 76 1 the the DET iajs-2516 76 2 sigmoid sigmoid NOUN iajs-2516 76 3 activation activation NOUN iajs-2516 76 4 function function NOUN iajs-2516 76 5 , , PUNCT iajs-2516 76 6 commonly commonly ADV iajs-2516 76 7 used use VERB iajs-2516 76 8 and and CCONJ iajs-2516 76 9 applied apply VERB iajs-2516 76 10 in in ADP iajs-2516 76 11 this this DET iajs-2516 76 12 study study NOUN iajs-2516 76 13 , , PUNCT iajs-2516 76 14 and and CCONJ iajs-2516 76 15 𝑎 𝑎 X iajs-2516 76 16 is be AUX iajs-2516 76 17 the the DET iajs-2516 76 18 sum sum NOUN iajs-2516 76 19 of of ADP iajs-2516 76 20 the the DET iajs-2516 76 21 weight weight NOUN iajs-2516 76 22 of of ADP iajs-2516 76 23 the the DET iajs-2516 76 24 previous previous ADJ iajs-2516 76 25 layer layer NOUN iajs-2516 76 26 , , PUNCT iajs-2516 76 27 which which PRON iajs-2516 76 28 is be AUX iajs-2516 76 29 obtained obtain VERB iajs-2516 76 30 by by ADP iajs-2516 76 31 [ [ X iajs-2516 76 32 22 22 NUM iajs-2516 76 33 ] ] PUNCT iajs-2516 76 34 : : PUNCT iajs-2516 76 35 𝑎 𝑎 X iajs-2516 76 36 ∑ ∑ PUNCT iajs-2516 76 37 𝑤 𝑤 PART iajs-2516 76 38 𝑥 𝑥 PRON iajs-2516 76 39 𝑏 𝑏 NOUN iajs-2516 76 40 ( ( PUNCT iajs-2516 76 41 11 11 NUM iajs-2516 76 42 ) ) PUNCT iajs-2516 76 43 where where SCONJ iajs-2516 76 44 𝑤 𝑤 X iajs-2516 76 45 is be AUX iajs-2516 76 46 the the DET iajs-2516 76 47 linkage linkage NOUN iajs-2516 76 48 weight weight NOUN iajs-2516 76 49 from from ADP iajs-2516 76 50 the the DET iajs-2516 76 51 neuron neuron NOUN iajs-2516 76 52 i i PRON iajs-2516 76 53 to to PART iajs-2516 76 54 neuron neuron VERB iajs-2516 76 55 𝑗 𝑗 NOUN iajs-2516 76 56 ; ; PUNCT iajs-2516 76 57 𝑥 𝑥 PRON iajs-2516 76 58 is be AUX iajs-2516 76 59 the the DET iajs-2516 76 60 input input NOUN iajs-2516 76 61 data datum NOUN iajs-2516 76 62 from from ADP iajs-2516 76 63 neuron neuron PROPN iajs-2516 76 64 𝑖 𝑖 ADP iajs-2516 76 65 to to ADP iajs-2516 76 66 𝑗 𝑗 NOUN iajs-2516 76 67 ; ; PUNCT iajs-2516 76 68 𝑏 𝑏 PRON iajs-2516 76 69 is be AUX iajs-2516 76 70 the the DET iajs-2516 76 71 bias bias NOUN iajs-2516 76 72 on on ADP iajs-2516 76 73 the the DET iajs-2516 76 74 neuron neuron PROPN iajs-2516 76 75 𝑖 𝑖 SYM iajs-2516 76 76 , , PUNCT iajs-2516 76 77 and and CCONJ iajs-2516 76 78 𝑛 𝑛 PROPN iajs-2516 76 79 is be AUX iajs-2516 76 80 the the DET iajs-2516 76 81 total total ADJ iajs-2516 76 82 number number NOUN iajs-2516 76 83 of of ADP iajs-2516 76 84 input input NOUN iajs-2516 76 85 neurons neuron NOUN iajs-2516 76 86 . . PUNCT iajs-2516 77 1 efficiencies efficiency NOUN iajs-2516 77 2 of of ADP iajs-2516 77 3 human human ADJ iajs-2516 77 4 neurons neuron NOUN iajs-2516 77 5 and and CCONJ iajs-2516 77 6 processing processing NOUN iajs-2516 77 7 elements element NOUN iajs-2516 77 8 of of ADP iajs-2516 77 9 ann ann PROPN iajs-2516 77 10 can can AUX iajs-2516 77 11 be be AUX iajs-2516 77 12 compared compare VERB iajs-2516 77 13 as as SCONJ iajs-2516 77 14 synapses synapsis NOUN iajs-2516 77 15 act act VERB iajs-2516 77 16 like like ADP iajs-2516 77 17 a a DET iajs-2516 77 18 weight weight NOUN iajs-2516 77 19 of of ADP iajs-2516 77 20 the the DET iajs-2516 77 21 arriving arrive VERB iajs-2516 77 22 stimulus stimulus NOUN iajs-2516 77 23 and and CCONJ iajs-2516 77 24 inspired inspire VERB iajs-2516 77 25 the the DET iajs-2516 77 26 weights weight NOUN iajs-2516 77 27 of of ADP iajs-2516 77 28 ann ann PROPN iajs-2516 77 29 ; ; PUNCT iajs-2516 77 30 dendrites dendrite VERB iajs-2516 77 31 a a DET iajs-2516 77 32 cumulates cumulate NOUN iajs-2516 77 33 the the DET iajs-2516 77 34 arriving arrive VERB iajs-2516 77 35 weighted weight VERB iajs-2516 77 36 stimulus stimulus NOUN iajs-2516 77 37 , , PUNCT iajs-2516 77 38 inspired inspire VERB iajs-2516 77 39 the the DET iajs-2516 77 40 summing sum VERB iajs-2516 77 41 function function NOUN iajs-2516 77 42 of of ADP iajs-2516 77 43 ann ann PROPN iajs-2516 77 44 ; ; PUNCT iajs-2516 77 45 cell cell NOUN iajs-2516 77 46 body body NOUN iajs-2516 77 47 , , PUNCT iajs-2516 77 48 that that SCONJ iajs-2516 77 49 reasons reason NOUN iajs-2516 77 50 conversion conversion NOUN iajs-2516 77 51 of of ADP iajs-2516 77 52 collected collect VERB iajs-2516 77 53 stimulus stimulus NOUN iajs-2516 77 54 in in ADP iajs-2516 77 55 to to ADP iajs-2516 77 56 a a DET iajs-2516 77 57 new new ADJ iajs-2516 77 58 stimulus stimulus NOUN iajs-2516 77 59 , , PUNCT iajs-2516 77 60 inspires inspire VERB iajs-2516 77 61 activation activation NOUN iajs-2516 77 62 function function NOUN iajs-2516 77 63 ; ; PUNCT iajs-2516 78 1 axon axon NOUN iajs-2516 78 2 , , PUNCT iajs-2516 78 3 which which PRON iajs-2516 78 4 distributes distribute VERB iajs-2516 78 5 the the DET iajs-2516 78 6 new new ADJ iajs-2516 78 7 stimulus stimulus NOUN iajs-2516 78 8 to to ADP iajs-2516 78 9 the the DET iajs-2516 78 10 conformable conformable ADJ iajs-2516 78 11 neurons neuron NOUN iajs-2516 78 12 , , PUNCT iajs-2516 78 13 inspires inspire VERB iajs-2516 78 14 the the DET iajs-2516 78 15 output output NOUN iajs-2516 78 16 and and CCONJ iajs-2516 78 17 output output NOUN iajs-2516 78 18 links link NOUN iajs-2516 78 19 ; ; PUNCT iajs-2516 78 20 and and CCONJ iajs-2516 78 21 finally finally ADV iajs-2516 78 22 , , PUNCT iajs-2516 78 23 threshold threshold NOUN iajs-2516 78 24 value value NOUN iajs-2516 78 25 with with ADP iajs-2516 78 26 a a DET iajs-2516 78 27 role role NOUN iajs-2516 78 28 of of ADP iajs-2516 78 29 activating activate VERB iajs-2516 78 30 or or CCONJ iajs-2516 78 31 inactivating inactivate VERB iajs-2516 78 32 increase increase NOUN iajs-2516 78 33 and and CCONJ iajs-2516 78 34 decrease decrease NOUN iajs-2516 78 35 of of ADP iajs-2516 78 36 the the DET iajs-2516 78 37 stimulus stimulus NOUN iajs-2516 78 38 , , PUNCT iajs-2516 78 39 inspires inspire VERB iajs-2516 78 40 the the DET iajs-2516 78 41 bias bias NOUN iajs-2516 78 42 [ [ X iajs-2516 78 43 17 17 NUM iajs-2516 78 44 ] ] PUNCT iajs-2516 78 45 . . PUNCT iajs-2516 79 1 the the DET iajs-2516 79 2 hidden hide VERB iajs-2516 79 3 nodes node NOUN iajs-2516 79 4 can can AUX iajs-2516 79 5 be be AUX iajs-2516 79 6 in in ADP iajs-2516 79 7 single single ADJ iajs-2516 79 8 layer layer NOUN iajs-2516 79 9 or or CCONJ iajs-2516 79 10 multi multi NOUN iajs-2516 79 11 - - NOUN iajs-2516 79 12 layers layer NOUN iajs-2516 79 13 . . PUNCT iajs-2516 80 1 usually usually ADV iajs-2516 80 2 , , PUNCT iajs-2516 80 3 the the DET iajs-2516 80 4 multiple multiple ADJ iajs-2516 80 5 layers layer NOUN iajs-2516 80 6 neurons neuron NOUN iajs-2516 80 7 are be AUX iajs-2516 80 8 called call VERB iajs-2516 80 9 as as ADP iajs-2516 80 10 multiple multiple ADJ iajs-2516 80 11 layers layer NOUN iajs-2516 80 12 perception perception NOUN iajs-2516 80 13 [ [ X iajs-2516 80 14 22 22 NUM iajs-2516 80 15 ] ] PUNCT iajs-2516 80 16 . . PUNCT iajs-2516 81 1 the the DET iajs-2516 81 2 multiple multiple ADJ iajs-2516 81 3 layers layer NOUN iajs-2516 81 4 perception perception NOUN iajs-2516 81 5 neural neural ADJ iajs-2516 81 6 network network NOUN iajs-2516 81 7 is be AUX iajs-2516 81 8 an an DET iajs-2516 81 9 important important ADJ iajs-2516 81 10 architecture architecture NOUN iajs-2516 81 11 , , PUNCT iajs-2516 81 12 and and CCONJ iajs-2516 81 13 it it PRON iajs-2516 81 14 is be AUX iajs-2516 81 15 also also ADV iajs-2516 81 16 one one NUM iajs-2516 81 17 of of ADP iajs-2516 81 18 the the DET iajs-2516 81 19 most most ADV iajs-2516 81 20 widely widely ADV iajs-2516 81 21 used use VERB iajs-2516 81 22 architectures architecture NOUN iajs-2516 81 23 that that PRON iajs-2516 81 24 are be AUX iajs-2516 81 25 applicable applicable ADJ iajs-2516 81 26 to to ADP iajs-2516 81 27 different different ADJ iajs-2516 81 28 application application NOUN iajs-2516 81 29 problems problem NOUN iajs-2516 81 30 [ [ X iajs-2516 81 31 23 23 NUM iajs-2516 81 32 ] ] PUNCT iajs-2516 81 33 . . PUNCT iajs-2516 82 1 the the DET iajs-2516 82 2 criteria criterion NOUN iajs-2516 82 3 of of ADP iajs-2516 82 4 comparison comparison NOUN iajs-2516 82 5 between between ADP iajs-2516 82 6 the the DET iajs-2516 82 7 models model NOUN iajs-2516 82 8 : : PUNCT iajs-2516 82 9 𝐴𝑘𝑎𝑖𝑘𝑒 𝐴𝑘𝑎𝑖𝑘𝑒 NOUN iajs-2516 82 10 information information NOUN iajs-2516 82 11 criterion criterion NOUN iajs-2516 82 12 𝐴𝐼𝐶 𝐴𝐼𝐶 PROPN iajs-2516 83 1 [ [ X iajs-2516 83 2 24 24 NUM iajs-2516 83 3 ] ] PUNCT iajs-2516 83 4 , , PUNCT iajs-2516 83 5 [ [ X iajs-2516 83 6 25 25 NUM iajs-2516 83 7 - - SYM iajs-2516 83 8 26 26 NUM iajs-2516 83 9 ] ] PUNCT iajs-2516 83 10 , , PUNCT iajs-2516 83 11 mean mean ADJ iajs-2516 83 12 square square NOUN iajs-2516 83 13 of of ADP iajs-2516 83 14 error error NOUN iajs-2516 83 15 𝑀𝑆𝐸 𝑀𝑆𝐸 NOUN iajs-2516 83 16 [ [ X iajs-2516 83 17 10 10 NUM iajs-2516 83 18 ] ] PUNCT iajs-2516 83 19 , , PUNCT iajs-2516 83 20 root root NOUN iajs-2516 83 21 mean mean NOUN iajs-2516 83 22 square square NOUN iajs-2516 83 23 of of ADP iajs-2516 83 24 error error NOUN iajs-2516 83 25 𝑅𝑀𝑆𝐸 𝑅𝑀𝑆𝐸 NOUN iajs-2516 83 26 [ [ X iajs-2516 83 27 21 21 NUM iajs-2516 83 28 ] ] PUNCT iajs-2516 83 29 , , PUNCT iajs-2516 83 30 and and CCONJ iajs-2516 83 31 mean mean VERB iajs-2516 83 32 absolute absolute ADJ iajs-2516 83 33 percentage percentage NOUN iajs-2516 83 34 error error NOUN iajs-2516 83 35 𝑀𝐴𝑃𝐸 𝑀𝐴𝑃𝐸 NOUN iajs-2516 84 1 [ [ X iajs-2516 84 2 27 27 NUM iajs-2516 84 3 ] ] PUNCT iajs-2516 84 4 . . PUNCT iajs-2516 85 1 the the DET iajs-2516 85 2 formulas formula NOUN iajs-2516 85 3 are be AUX iajs-2516 85 4 expressed express VERB iajs-2516 85 5 as as ADP iajs-2516 85 6 below below ADV iajs-2516 85 7 : : PUNCT iajs-2516 85 8 aic aic PROPN iajs-2516 85 9 2logl 2logl NUM iajs-2516 85 10 2𝑚 2𝑚 NOUN iajs-2516 85 11 aic aic PROPN iajs-2516 85 12 n n CCONJ iajs-2516 85 13 1 1 NUM iajs-2516 85 14 logπ logπ NOUN iajs-2516 85 15 𝑛𝐿𝑜𝑔𝜎 𝑛𝐿𝑜𝑔𝜎 PROPN iajs-2516 85 16 2𝑚 2𝑚 NOUN iajs-2516 85 17 aic aic PROPN iajs-2516 85 18 nln𝜎 nln𝜎 ADJ iajs-2516 85 19 2𝑚 2𝑚 NOUN iajs-2516 85 20 ( ( PUNCT iajs-2516 85 21 12 12 NUM iajs-2516 85 22 ) ) PUNCT iajs-2516 86 1 where where SCONJ iajs-2516 86 2 : : PUNCT iajs-2516 86 3 l l NOUN iajs-2516 86 4 : : PUNCT iajs-2516 86 5 the the DET iajs-2516 86 6 likelihood likelihood NOUN iajs-2516 86 7 function function NOUN iajs-2516 86 8 . . PUNCT iajs-2516 87 1 𝜎 𝜎 PROPN iajs-2516 87 2 : : PUNCT iajs-2516 87 3 the the DET iajs-2516 87 4 mean mean ADJ iajs-2516 87 5 square square NOUN iajs-2516 87 6 of of ADP iajs-2516 87 7 residuals residual NOUN iajs-2516 87 8 . . PUNCT iajs-2516 87 9     SPACE iajs-2516 88 1 115 115 NUM iajs-2516 88 2     SPACE iajs-2516 88 3 ibn ibn PROPN iajs-2516 88 4 al al PROPN iajs-2516 88 5 - - PUNCT iajs-2516 88 6 haitham haitham PROPN iajs-2516 88 7 jour jour X iajs-2516 88 8 . . PROPN iajs-2516 88 9 for for ADP iajs-2516 88 10 pure pure ADJ iajs-2516 88 11 & & CCONJ iajs-2516 88 12 appl appl PROPN iajs-2516 88 13 . . PUNCT iajs-2516 89 1 sci sci PROPN iajs-2516 89 2 . . PROPN iajs-2516 90 1 33 33 NUM iajs-2516 90 2 ( ( PUNCT iajs-2516 90 3 4 4 NUM iajs-2516 90 4 ) ) PUNCT iajs-2516 90 5 2020 2020 NUM iajs-2516 90 6 𝑚 𝑚 NOUN iajs-2516 90 7 : : PUNCT iajs-2516 90 8 parameters parameter NOUN iajs-2516 90 9 of of ADP iajs-2516 90 10 the the DET iajs-2516 90 11 model model NOUN iajs-2516 90 12 . . PUNCT iajs-2516 91 1 𝑀𝑆𝐸 𝑀𝑆𝐸 NOUN iajs-2516 91 2 ∑ ∑ PUNCT iajs-2516 91 3 𝑌 𝑌 PROPN iajs-2516 91 4 𝑌 𝑌 PROPN iajs-2516 91 5 ( ( PUNCT iajs-2516 91 6 13 13 NUM iajs-2516 91 7 ) ) PUNCT iajs-2516 91 8 𝑅𝑀𝑆𝐸 𝑅𝑀𝑆𝐸 NOUN iajs-2516 91 9 ∑ ∑ PUNCT iajs-2516 91 10 𝑌 𝑌 PROPN iajs-2516 91 11 𝑌 𝑌 PROPN iajs-2516 91 12 ( ( PUNCT iajs-2516 91 13 14 14 NUM iajs-2516 91 14 ) ) PUNCT iajs-2516 91 15 𝑀𝐴𝑃𝐸 𝑀𝐴𝑃𝐸 PROPN iajs-2516 91 16 ∑ ∑ INTJ iajs-2516 92 1 | | ADV iajs-2516 92 2 | | ADV iajs-2516 92 3 100 100 NUM iajs-2516 92 4 ( ( PUNCT iajs-2516 92 5 15 15 NUM iajs-2516 92 6 ) ) PUNCT iajs-2516 92 7 where where SCONJ iajs-2516 92 8 𝑌 𝑌 PROPN iajs-2516 92 9 is be AUX iajs-2516 92 10 the the DET iajs-2516 92 11 actual actual ADJ iajs-2516 92 12 value value NOUN iajs-2516 92 13 and and CCONJ iajs-2516 92 14 𝑌 𝑌 PROPN iajs-2516 92 15 is be AUX iajs-2516 92 16 the the DET iajs-2516 92 17 predicted predict VERB iajs-2516 92 18 value value NOUN iajs-2516 92 19 , , PUNCT iajs-2516 92 20 and and CCONJ iajs-2516 92 21 n n PRON iajs-2516 92 22 is be AUX iajs-2516 92 23 the the DET iajs-2516 92 24 size size NOUN iajs-2516 92 25 sample sample NOUN iajs-2516 92 26 . . PUNCT iajs-2516 93 1 the the DET iajs-2516 93 2 final final ADJ iajs-2516 93 3 model model NOUN iajs-2516 93 4 is be AUX iajs-2516 93 5 used use VERB iajs-2516 93 6 to to PART iajs-2516 93 7 generate generate VERB iajs-2516 93 8 predictions prediction NOUN iajs-2516 93 9 about about ADP iajs-2516 93 10 the the DET iajs-2516 93 11 future future ADJ iajs-2516 93 12 values value NOUN iajs-2516 93 13 and and CCONJ iajs-2516 93 14 then then ADV iajs-2516 93 15 calculate calculate VERB iajs-2516 93 16 the the DET iajs-2516 93 17 forecast forecast NOUN iajs-2516 93 18 errors error NOUN iajs-2516 93 19 as as SCONJ iajs-2516 93 20 developments development NOUN iajs-2516 93 21 of of ADP iajs-2516 93 22 new new ADJ iajs-2516 93 23 values value NOUN iajs-2516 93 24 watch watch VERB iajs-2516 93 25 from from ADP iajs-2516 93 26 the the DET iajs-2516 93 27 time time NOUN iajs-2516 93 28 series series NOUN iajs-2516 93 29 [ [ X iajs-2516 93 30 23 23 NUM iajs-2516 93 31 ] ] PUNCT iajs-2516 93 32 . . PUNCT iajs-2516 94 1 3 3 X iajs-2516 94 2 . . X iajs-2516 94 3 data datum NOUN iajs-2516 94 4 analysis analysis NOUN iajs-2516 94 5 and and CCONJ iajs-2516 94 6 results result VERB iajs-2516 94 7 3.1 3.1 NUM iajs-2516 94 8 . . PUNCT iajs-2516 95 1 data datum NOUN iajs-2516 95 2 description description NOUN iajs-2516 95 3 the the DET iajs-2516 95 4 data datum NOUN iajs-2516 95 5 of of ADP iajs-2516 95 6 current current ADJ iajs-2516 95 7 study study NOUN iajs-2516 95 8 were be AUX iajs-2516 95 9 the the DET iajs-2516 95 10 monthly monthly ADJ iajs-2516 95 11 observations observation NOUN iajs-2516 95 12 that that PRON iajs-2516 95 13 included include VERB iajs-2516 95 14 ( ( PUNCT iajs-2516 95 15 5169 5169 NUM iajs-2516 95 16 ) ) PUNCT iajs-2516 95 17 patients patient NOUN iajs-2516 95 18 of of ADP iajs-2516 95 19 hypertension hypertension NOUN iajs-2516 95 20 in in ADP iajs-2516 95 21 kalar kalar ADJ iajs-2516 95 22 city city NOUN iajs-2516 95 23 and and CCONJ iajs-2516 95 24 were be AUX iajs-2516 95 25 obtained obtain VERB iajs-2516 95 26 from from ADP iajs-2516 95 27 the the DET iajs-2516 95 28 records record NOUN iajs-2516 95 29 of of ADP iajs-2516 95 30 the the DET iajs-2516 95 31 general general ADJ iajs-2516 95 32 hospitalkalar hospitalkalar NOUN iajs-2516 95 33 for for ADP iajs-2516 95 34 the the DET iajs-2516 95 35 period period NOUN iajs-2516 95 36 ( ( PUNCT iajs-2516 95 37 jan jan PROPN iajs-2516 95 38 . . PROPN iajs-2516 95 39 2011jun 2011jun NUM iajs-2516 95 40 . . PUNCT iajs-2516 95 41 2018 2018 NUM iajs-2516 95 42 ) ) PUNCT iajs-2516 96 1 in in ADP iajs-2516 96 2 order order NOUN iajs-2516 96 3 to to PART iajs-2516 96 4 reach reach VERB iajs-2516 96 5 an an DET iajs-2516 96 6 appropriate appropriate ADJ iajs-2516 96 7 model model NOUN iajs-2516 96 8 to to PART iajs-2516 96 9 be be AUX iajs-2516 96 10 used use VERB iajs-2516 96 11 to to PART iajs-2516 96 12 forecast forecast VERB iajs-2516 96 13 the the DET iajs-2516 96 14 monthly monthly ADJ iajs-2516 96 15 hypertension hypertension NOUN iajs-2516 96 16 . . PUNCT iajs-2516 97 1 spss spss PROPN iajs-2516 97 2 22 22 NUM iajs-2516 97 3 and and CCONJ iajs-2516 97 4 minitab17 minitab17 ADJ iajs-2516 97 5 statistical statistical ADJ iajs-2516 97 6 software software NOUN iajs-2516 97 7 were be AUX iajs-2516 97 8 used use VERB iajs-2516 97 9 . . PUNCT iajs-2516 98 1 table table NOUN iajs-2516 98 2 1 1 NUM iajs-2516 98 3 below below ADV iajs-2516 98 4 shows show VERB iajs-2516 98 5 the the DET iajs-2516 98 6 descriptive descriptive ADJ iajs-2516 98 7 statistics statistic NOUN iajs-2516 98 8 of of ADP iajs-2516 98 9 the the DET iajs-2516 98 10 series series NOUN iajs-2516 98 11 and and CCONJ iajs-2516 98 12 indicates indicate VERB iajs-2516 98 13 the the DET iajs-2516 98 14 mean mean NOUN iajs-2516 98 15 of of ADP iajs-2516 98 16 the the DET iajs-2516 98 17 time time NOUN iajs-2516 98 18 series series NOUN iajs-2516 98 19 that that SCONJ iajs-2516 98 20 57.43 57.43 NUM iajs-2516 98 21 , , PUNCT iajs-2516 98 22 the the DET iajs-2516 98 23 sample sample NOUN iajs-2516 98 24 size size NOUN iajs-2516 98 25 is be AUX iajs-2516 98 26 90 90 NUM iajs-2516 98 27 months month NOUN iajs-2516 98 28 . . PUNCT iajs-2516 99 1 from from ADP iajs-2516 99 2 the the DET iajs-2516 99 3 data datum NOUN iajs-2516 99 4 , , PUNCT iajs-2516 99 5 we we PRON iajs-2516 99 6 considered consider VERB iajs-2516 99 7 that that SCONJ iajs-2516 99 8 the the DET iajs-2516 99 9 number number NOUN iajs-2516 99 10 of of ADP iajs-2516 99 11 patients patient NOUN iajs-2516 99 12 were be AUX iajs-2516 99 13 female female ADJ iajs-2516 99 14 60.03 60.03 NUM iajs-2516 99 15 % % NOUN iajs-2516 99 16 females female NOUN iajs-2516 99 17 and and CCONJ iajs-2516 99 18 39.97 39.97 NUM iajs-2516 99 19 % % NOUN iajs-2516 99 20 males male NOUN iajs-2516 99 21 . . PUNCT iajs-2516 100 1 table table NOUN iajs-2516 100 2 1 1 NUM iajs-2516 100 3 : : PUNCT iajs-2516 100 4 descriptive descriptive ADJ iajs-2516 100 5 statistics statistic NOUN iajs-2516 100 6 of of ADP iajs-2516 100 7 the the DET iajs-2516 100 8 data datum NOUN iajs-2516 100 9 gender gender NOUN iajs-2516 100 10 no no NOUN iajs-2516 100 11 . . PUNCT iajs-2516 101 1 of of ADP iajs-2516 101 2 patients patient NOUN iajs-2516 101 3 mean mean VERB iajs-2516 101 4 max max PROPN iajs-2516 101 5 . . PUNCT iajs-2516 102 1 min min PROPN iajs-2516 102 2 . . PROPN iajs-2516 102 3 std std PROPN iajs-2516 102 4 . . PUNCT iajs-2516 103 1 dev dev PROPN iajs-2516 103 2 . . PUNCT iajs-2516 104 1 percent percent NOUN iajs-2516 104 2 male male ADJ iajs-2516 104 3 female female ADJ iajs-2516 104 4 2066 2066 NUM iajs-2516 104 5 3103 3103 NUM iajs-2516 104 6 22.8889 22.8889 NUM iajs-2516 104 7 34.4778 34.4778 NUM iajs-2516 104 8 68 68 NUM iajs-2516 104 9 76 76 NUM iajs-2516 104 10 8 8 NUM iajs-2516 104 11 9 9 NUM iajs-2516 104 12 9.7778 9.7778 NUM iajs-2516 104 13 15.83 15.83 NUM iajs-2516 104 14 39.97 39.97 NUM iajs-2516 104 15 60.03 60.03 NUM iajs-2516 104 16 total total ADJ iajs-2516 104 17 5169 5169 NUM iajs-2516 104 18 144 144 NUM iajs-2516 104 19 17 17 NUM iajs-2516 104 20 23.9996 23.9996 NUM iajs-2516 104 21 100 100 NUM iajs-2516 104 22 3.2 3.2 NUM iajs-2516 104 23 . . PUNCT iajs-2516 104 24 results result NOUN iajs-2516 104 25 of of ADP iajs-2516 104 26 boxjenkins boxjenkin NOUN iajs-2516 104 27 figure figure VERB iajs-2516 104 28 3 3 NUM iajs-2516 104 29 , , PUNCT iajs-2516 104 30 represents represent VERB iajs-2516 104 31 the the DET iajs-2516 104 32 series series NOUN iajs-2516 104 33 monthly monthly ADJ iajs-2516 104 34 hypertension hypertension NOUN iajs-2516 104 35 and and CCONJ iajs-2516 104 36 we we PRON iajs-2516 104 37 show show VERB iajs-2516 104 38 that that SCONJ iajs-2516 104 39 data datum NOUN iajs-2516 104 40 are be AUX iajs-2516 104 41 stationary stationary ADJ iajs-2516 104 42 in in ADP iajs-2516 104 43 the the DET iajs-2516 104 44 variance variance NOUN iajs-2516 104 45 , , PUNCT iajs-2516 104 46 but but CCONJ iajs-2516 104 47 not not PART iajs-2516 104 48 stationary stationary ADJ iajs-2516 104 49 in in ADP iajs-2516 104 50 the the DET iajs-2516 104 51 mean mean NOUN iajs-2516 104 52 when when SCONJ iajs-2516 104 53 we we PRON iajs-2516 104 54 plot plot VERB iajs-2516 104 55 autocorrelation autocorrelation NOUN iajs-2516 104 56 functions function NOUN iajs-2516 104 57 and and CCONJ iajs-2516 104 58 partial partial ADJ iajs-2516 104 59 autocorrelation autocorrelation NOUN iajs-2516 104 60 function function NOUN iajs-2516 104 61 for for ADP iajs-2516 104 62 the the DET iajs-2516 104 63 data datum NOUN iajs-2516 104 64 . . PUNCT iajs-2516 105 1 figure figure VERB iajs-2516 105 2 3 3 NUM iajs-2516 105 3 : : PUNCT iajs-2516 105 4 plot plot NOUN iajs-2516 105 5 of of ADP iajs-2516 105 6 the the DET iajs-2516 105 7 data datum NOUN iajs-2516 105 8 90817263544536271891 90817263544536271891 NUM iajs-2516 105 9 160 160 NUM iajs-2516 105 10 140 140 NUM iajs-2516 105 11 120 120 NUM iajs-2516 105 12 100 100 NUM iajs-2516 105 13 80 80 NUM iajs-2516 105 14 60 60 NUM iajs-2516 105 15 40 40 NUM iajs-2516 105 16 20 20 NUM iajs-2516 105 17 0 0 NUM iajs-2516 105 18 index index NOUN iajs-2516 105 19 y y PROPN iajs-2516 105 20 time time NOUN iajs-2516 105 21 series series PROPN iajs-2516 105 22 plot plot NOUN iajs-2516 105 23 of of ADP iajs-2516 105 24 y y PROPN iajs-2516 105 25     SPACE iajs-2516 105 26 116 116 NUM iajs-2516 105 27     SPACE iajs-2516 105 28 ibn ibn PROPN iajs-2516 105 29 al al PROPN iajs-2516 105 30 - - PUNCT iajs-2516 105 31 haitham haitham PROPN iajs-2516 105 32 jour jour X iajs-2516 105 33 . . PROPN iajs-2516 106 1 for for ADP iajs-2516 106 2 pure pure ADJ iajs-2516 106 3 & & CCONJ iajs-2516 106 4 appl appl PROPN iajs-2516 106 5 . . PUNCT iajs-2516 107 1 sci sci PROPN iajs-2516 107 2 . . PROPN iajs-2516 108 1 33 33 NUM iajs-2516 108 2 ( ( PUNCT iajs-2516 108 3 4 4 NUM iajs-2516 108 4 ) ) PUNCT iajs-2516 108 5 2020 2020 NUM iajs-2516 108 6 figure figure VERB iajs-2516 108 7 4 4 NUM iajs-2516 108 8 : : PUNCT iajs-2516 108 9 acf acf NOUN iajs-2516 108 10 of of ADP iajs-2516 108 11 the the DET iajs-2516 108 12 data datum NOUN iajs-2516 108 13 figure figure NOUN iajs-2516 108 14 5 5 NUM iajs-2516 108 15 : : PUNCT iajs-2516 108 16 pacf pacf NOUN iajs-2516 108 17 of of ADP iajs-2516 108 18 the the DET iajs-2516 108 19 data datum NOUN iajs-2516 108 20 we we PRON iajs-2516 108 21 treat treat VERB iajs-2516 108 22 the the DET iajs-2516 108 23 outlier outlier ADJ iajs-2516 108 24 problem problem NOUN iajs-2516 108 25 , , PUNCT iajs-2516 108 26 then then ADV iajs-2516 108 27 take take VERB iajs-2516 108 28 the the DET iajs-2516 108 29 first first ADJ iajs-2516 108 30 difference difference NOUN iajs-2516 108 31 for for ADP iajs-2516 108 32 the the DET iajs-2516 108 33 data datum NOUN iajs-2516 108 34 and and CCONJ iajs-2516 108 35 plot plot NOUN iajs-2516 108 36 acf acf PROPN iajs-2516 108 37 and and CCONJ iajs-2516 108 38 pacf pacf NOUN iajs-2516 108 39 again again ADV iajs-2516 108 40 for for ADP iajs-2516 108 41 the the DET iajs-2516 108 42 difference difference NOUN iajs-2516 108 43 time time NOUN iajs-2516 108 44 series series NOUN iajs-2516 108 45 ; ; PUNCT iajs-2516 108 46 we we PRON iajs-2516 108 47 show show VERB iajs-2516 108 48 that that SCONJ iajs-2516 108 49 the the DET iajs-2516 108 50 series series NOUN iajs-2516 108 51 become become VERB iajs-2516 108 52 stationary stationary ADJ iajs-2516 108 53 in in ADP iajs-2516 108 54 the the DET iajs-2516 108 55 mean mean NOUN iajs-2516 108 56 and and CCONJ iajs-2516 108 57 variance variance NOUN iajs-2516 108 58 . . PUNCT iajs-2516 109 1 3.3 3.3 NUM iajs-2516 109 2 . . PUNCT iajs-2516 110 1 choosing choose VERB iajs-2516 110 2 appropriate appropriate ADJ iajs-2516 110 3 model model NOUN iajs-2516 110 4 we we PRON iajs-2516 110 5 choose choose VERB iajs-2516 110 6 the the DET iajs-2516 110 7 appropriate appropriate ADJ iajs-2516 110 8 model model NOUN iajs-2516 110 9 through through ADP iajs-2516 110 10 the the DET iajs-2516 110 11 use use NOUN iajs-2516 110 12 of of ADP iajs-2516 110 13 𝐴𝑘𝑎𝑖𝑘𝑒𝑠 𝐴𝑘𝑎𝑖𝑘𝑒𝑠 PROPN iajs-2516 110 14 information information NOUN iajs-2516 110 15 criterion criterion NOUN iajs-2516 110 16 ( ( PUNCT iajs-2516 110 17 aic aic PROPN iajs-2516 110 18 ) ) PUNCT iajs-2516 110 19 as as SCONJ iajs-2516 110 20 shown show VERB iajs-2516 110 21 in in ADP iajs-2516 110 22 table table NOUN iajs-2516 110 23 ( ( PUNCT iajs-2516 110 24 2 2 NUM iajs-2516 110 25 ) ) PUNCT iajs-2516 110 26 . . PUNCT iajs-2516 111 1 the the DET iajs-2516 111 2 best good ADJ iajs-2516 111 3 model model NOUN iajs-2516 111 4 is be AUX iajs-2516 111 5 the the DET iajs-2516 111 6 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 111 7 2 2 NUM iajs-2516 111 8 , , PUNCT iajs-2516 111 9 1,1 1,1 NUM iajs-2516 111 10 , , PUNCT iajs-2516 111 11 because because SCONJ iajs-2516 111 12 the the DET iajs-2516 111 13 values value NOUN iajs-2516 111 14 of of ADP iajs-2516 111 15 aic aic PROPN iajs-2516 111 16 are be AUX iajs-2516 111 17 minimum minimum ADJ iajs-2516 111 18 . . PUNCT iajs-2516 112 1 since since SCONJ iajs-2516 112 2 the the DET iajs-2516 112 3 model model NOUN iajs-2516 112 4 is be AUX iajs-2516 112 5 : : PUNCT iajs-2516 112 6 1 1 NUM iajs-2516 112 7 𝜙 𝜙 X iajs-2516 112 8 𝐵 𝐵 NOUN iajs-2516 112 9 𝜙 𝜙 NOUN iajs-2516 112 10 𝐵 𝐵 NOUN iajs-2516 112 11 1 1 NUM iajs-2516 112 12 𝐵 𝐵 NOUN iajs-2516 112 13 𝑦 𝑦 NOUN iajs-2516 112 14 𝛿 𝛿 ADJ iajs-2516 112 15 1 1 NUM iajs-2516 112 16 𝜃 𝜃 SYM iajs-2516 112 17 𝐵 𝐵 NOUN iajs-2516 112 18 𝑎 𝑎 X iajs-2516 112 19 ( ( PUNCT iajs-2516 112 20 16 16 NUM iajs-2516 112 21 ) ) PUNCT iajs-2516 112 22 table table NOUN iajs-2516 112 23 2 2 NUM iajs-2516 112 24 : : PUNCT iajs-2516 112 25 iterations iteration NOUN iajs-2516 112 26 of of ADP iajs-2516 112 27 arima arima NOUN iajs-2516 112 28 models model NOUN iajs-2516 112 29 222018161412108642 222018161412108642 NUM iajs-2516 112 30 1.0 1.0 NUM iajs-2516 112 31 0.8 0.8 NUM iajs-2516 112 32 0.6 0.6 NUM iajs-2516 112 33 0.4 0.4 NUM iajs-2516 112 34 0.2 0.2 NUM iajs-2516 112 35 0.0 0.0 NUM iajs-2516 112 36 -0.2 -0.2 PROPN iajs-2516 112 37 -0.4 -0.4 PROPN iajs-2516 112 38 -0.6 -0.6 PROPN iajs-2516 112 39 -0.8 -0.8 PROPN iajs-2516 112 40 -1.0 -1.0 PROPN iajs-2516 112 41 lag lag NOUN iajs-2516 112 42 a a DET iajs-2516 112 43 u u NOUN iajs-2516 112 44 to to ADP iajs-2516 112 45 c c PROPN iajs-2516 112 46 o o NOUN iajs-2516 112 47 rr rr X iajs-2516 112 48 e e X iajs-2516 112 49 la la X iajs-2516 112 50 ti ti PROPN iajs-2516 112 51 o o NOUN iajs-2516 112 52 n n CCONJ iajs-2516 112 53 222018161412108642 222018161412108642 NUM iajs-2516 112 54 1.0 1.0 NUM iajs-2516 112 55 0.8 0.8 NUM iajs-2516 112 56 0.6 0.6 NUM iajs-2516 112 57 0.4 0.4 NUM iajs-2516 112 58 0.2 0.2 NUM iajs-2516 112 59 0.0 0.0 NUM iajs-2516 112 60 -0.2 -0.2 PROPN iajs-2516 112 61 -0.4 -0.4 PROPN iajs-2516 112 62 -0.6 -0.6 PROPN iajs-2516 112 63 -0.8 -0.8 PROPN iajs-2516 112 64 -1.0 -1.0 PROPN iajs-2516 112 65 lag lag NOUN iajs-2516 112 66 p p PROPN iajs-2516 112 67 a a DET iajs-2516 112 68 rt rt PROPN iajs-2516 112 69 ia ia PROPN iajs-2516 112 70 l l PROPN iajs-2516 112 71 a a DET iajs-2516 112 72 u u NOUN iajs-2516 112 73 to to ADP iajs-2516 112 74 c c PROPN iajs-2516 112 75 o o NOUN iajs-2516 112 76 rr rr X iajs-2516 112 77 e e X iajs-2516 112 78 la la X iajs-2516 112 79 ti ti PROPN iajs-2516 112 80 o o PROPN iajs-2516 112 81 n n PRON iajs-2516 112 82 model model NOUN iajs-2516 112 83 res re NOUN iajs-2516 112 84 . . PUNCT iajs-2516 113 1 var var PROPN iajs-2516 113 2 . . PUNCT iajs-2516 114 1 aic aic PROPN iajs-2516 114 2 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 3 1 1 NUM iajs-2516 114 4 , , PUNCT iajs-2516 114 5 1 1 NUM iajs-2516 114 6 , , PUNCT iajs-2516 114 7 0 0 NUM iajs-2516 114 8 370.6 370.6 NUM iajs-2516 114 9 528.446 528.446 NUM iajs-2516 114 10 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 11 1 1 NUM iajs-2516 114 12 , , PUNCT iajs-2516 114 13 1 1 NUM iajs-2516 114 14 , , PUNCT iajs-2516 114 15 1 1 NUM iajs-2516 114 16 319.2 319.2 NUM iajs-2516 114 17 517.158 517.158 NUM iajs-2516 114 18 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 19 0 0 NUM iajs-2516 114 20 , , PUNCT iajs-2516 114 21 1 1 NUM iajs-2516 114 22 , , PUNCT iajs-2516 114 23 1 1 NUM iajs-2516 114 24 328.5 328.5 NUM iajs-2516 114 25 517.714 517.714 NUM iajs-2516 114 26 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 27 0 0 NUM iajs-2516 114 28 , , PUNCT iajs-2516 114 29 1 1 NUM iajs-2516 114 30 , , PUNCT iajs-2516 114 31 2 2 NUM iajs-2516 114 32 327.0 327.0 NUM iajs-2516 114 33 519.306 519.306 NUM iajs-2516 114 34 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 35 1 1 NUM iajs-2516 114 36 , , PUNCT iajs-2516 114 37 1 1 NUM iajs-2516 114 38 , , PUNCT iajs-2516 114 39 2 2 NUM iajs-2516 114 40 330.9 330.9 NUM iajs-2516 114 41 522.362 522.362 NUM iajs-2516 114 42 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 114 43 2 2 NUM iajs-2516 114 44 , , PUNCT iajs-2516 114 45 1 1 NUM iajs-2516 114 46 , , PUNCT iajs-2516 114 47 2 2 NUM iajs-2516 114 48 333.9 333.9 NUM iajs-2516 114 49 525.165 525.165 NUM iajs-2516 114 50     SPACE iajs-2516 114 51 117 117 NUM iajs-2516 114 52     SPACE iajs-2516 114 53 ibn ibn PROPN iajs-2516 114 54 al al PROPN iajs-2516 114 55 - - PUNCT iajs-2516 114 56 haitham haitham PROPN iajs-2516 114 57 jour jour X iajs-2516 114 58 . . PROPN iajs-2516 114 59 for for ADP iajs-2516 114 60 pure pure ADJ iajs-2516 114 61 & & CCONJ iajs-2516 114 62 appl appl PROPN iajs-2516 114 63 . . PUNCT iajs-2516 115 1 sci sci PROPN iajs-2516 115 2 . . PROPN iajs-2516 116 1 33 33 NUM iajs-2516 116 2 ( ( PUNCT iajs-2516 116 3 4 4 NUM iajs-2516 116 4 ) ) PUNCT iajs-2516 116 5 2020 2020 NUM iajs-2516 116 6 3.4 3.4 NUM iajs-2516 116 7 . . PUNCT iajs-2516 117 1 estimating estimate VERB iajs-2516 117 2 the the DET iajs-2516 117 3 parameters parameter NOUN iajs-2516 117 4 type type NOUN iajs-2516 117 5 coefficient coefficient NOUN iajs-2516 117 6 se se PROPN iajs-2516 117 7 . . PROPN iajs-2516 117 8 coefficient coefficient PROPN iajs-2516 117 9 t t PROPN iajs-2516 117 10 p p NOUN iajs-2516 117 11 value value NOUN iajs-2516 117 12 𝐴𝑅1 𝐴𝑅1 PROPN iajs-2516 117 13 0.3548 0.3548 NUM iajs-2516 117 14 0.1122 0.1122 NUM iajs-2516 117 15 3.16 3.16 NUM iajs-2516 117 16 0.002 0.002 NUM iajs-2516 117 17 𝐴𝑅2 𝐴𝑅2 PROPN iajs-2516 117 18 0.1418 0.1418 NUM iajs-2516 117 19 0.1129 0.1129 NUM iajs-2516 117 20 1.26 1.26 NUM iajs-2516 117 21 0.212 0.212 NUM iajs-2516 117 22 𝑀𝐴1 𝑀𝐴1 PROPN iajs-2516 117 23 1.006 1.006 NUM iajs-2516 117 24 0.0097 0.0097 NUM iajs-2516 117 25 103.63 103.63 NUM iajs-2516 117 26 0.000 0.000 NUM iajs-2516 118 1 𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 NOUN iajs-2516 118 2 0.066 0.066 NUM iajs-2516 118 3 0.044 0.044 NUM iajs-2516 118 4 1.48 1.48 NUM iajs-2516 118 5 0.14 0.14 NUM iajs-2516 118 6 modified modify VERB iajs-2516 118 7 box box PROPN iajs-2516 118 8 pierce pierce PROPN iajs-2516 118 9 ljung ljung PROPN iajs-2516 118 10 box box PROPN iajs-2516 118 11 chi chi PROPN iajs-2516 118 12 square square PROPN iajs-2516 118 13 statistic statistic NOUN iajs-2516 119 1 𝐿𝑎𝑔 𝐿𝑎𝑔 PROPN iajs-2516 119 2 12 12 NUM iajs-2516 119 3 24 24 NUM iajs-2516 119 4 36 36 NUM iajs-2516 119 5 48 48 NUM iajs-2516 119 6 𝐶ℎ𝑖 𝐶ℎ𝑖 PROPN iajs-2516 119 7 𝑆𝑞𝑢𝑎𝑟𝑒 𝑆𝑞𝑢𝑎𝑟𝑒 PROPN iajs-2516 119 8 8.6 8.6 NUM iajs-2516 119 9 18.1 18.1 NUM iajs-2516 119 10 26.6 26.6 NUM iajs-2516 119 11 34.2 34.2 NUM iajs-2516 119 12 𝐷𝐹 𝐷𝐹 PROPN iajs-2516 119 13 8 8 NUM iajs-2516 119 14 20 20 NUM iajs-2516 119 15 32 32 NUM iajs-2516 119 16 44 44 NUM iajs-2516 119 17 𝑃 𝑃 NOUN iajs-2516 119 18 𝑉𝑎𝑙𝑢𝑒 𝑉𝑎𝑙𝑢𝑒 PROPN iajs-2516 119 19 0.379 0.379 NUM iajs-2516 119 20 0.579 0.579 NUM iajs-2516 119 21 0.737 0.737 NUM iajs-2516 119 22 0.856 0.856 NUM iajs-2516 119 23 number number NOUN iajs-2516 119 24 of of ADP iajs-2516 119 25 observations observation NOUN iajs-2516 119 26 : : PUNCT iajs-2516 119 27 original original ADJ iajs-2516 119 28 series series NOUN iajs-2516 119 29 90 90 NUM iajs-2516 119 30 , , PUNCT iajs-2516 119 31 after after ADP iajs-2516 119 32 taking take VERB iajs-2516 119 33 the the DET iajs-2516 119 34 difference difference NOUN iajs-2516 119 35 89 89 NUM iajs-2516 119 36 residuals residual NOUN iajs-2516 119 37 : : PUNCT iajs-2516 119 38 ss ss NOUN iajs-2516 119 39 = = PUNCT iajs-2516 119 40 26371.1 26371.1 NUM iajs-2516 119 41 , , PUNCT iajs-2516 119 42 ms ms NOUN iajs-2516 119 43 = = PROPN iajs-2516 119 44 310.2 310.2 NUM iajs-2516 119 45 , , PUNCT iajs-2516 119 46 and and CCONJ iajs-2516 119 47 d. d. PROPN iajs-2516 119 48 f f PROPN iajs-2516 120 1 = = SYM iajs-2516 120 2 85 85 NUM iajs-2516 120 3 1 1 NUM iajs-2516 120 4 0.3548𝐵 0.3548𝐵 NUM iajs-2516 120 5 0.1418𝐵 0.1418𝐵 NUM iajs-2516 120 6 1 1 NUM iajs-2516 120 7 𝐵 𝐵 NOUN iajs-2516 120 8 𝑦 𝑦 NOUN iajs-2516 120 9 0.066 0.066 NUM iajs-2516 120 10 1 1 NUM iajs-2516 120 11 1.006𝐵 1.006𝐵 NUM iajs-2516 120 12 𝑎 𝑎 PRON iajs-2516 120 13 3.5 3.5 NUM iajs-2516 120 14 . . 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PROPN iajs-2516 124 1 for for ADP iajs-2516 124 2 pure pure ADJ iajs-2516 124 3 & & CCONJ iajs-2516 124 4 appl appl PROPN iajs-2516 124 5 . . PUNCT iajs-2516 125 1 sci sci PROPN iajs-2516 125 2 . . PROPN iajs-2516 126 1 33 33 NUM iajs-2516 126 2 ( ( PUNCT iajs-2516 126 3 4 4 NUM iajs-2516 126 4 ) ) PUNCT iajs-2516 126 5 2020 2020 NUM iajs-2516 126 6 figure figure VERB iajs-2516 126 7 6 6 NUM iajs-2516 126 8 : : PUNCT iajs-2516 126 9 acf acf NOUN iajs-2516 126 10 of of ADP iajs-2516 126 11 residual residual ADJ iajs-2516 126 12 figure figure NOUN iajs-2516 126 13 7 7 NUM iajs-2516 126 14 : : PUNCT iajs-2516 126 15 pacf pacf NOUN iajs-2516 126 16 of of ADP iajs-2516 126 17 residual residual ADJ iajs-2516 126 18 after after ADP iajs-2516 126 19 verification verification NOUN iajs-2516 126 20 of of ADP iajs-2516 126 21 the the DET iajs-2516 126 22 suitability suitability NOUN iajs-2516 126 23 of of ADP iajs-2516 126 24 the the DET iajs-2516 126 25 model model NOUN iajs-2516 126 26 that that SCONJ iajs-2516 126 27 the the DET iajs-2516 126 28 model model NOUN iajs-2516 126 29 used use VERB iajs-2516 126 30 for for ADP iajs-2516 126 31 forecasting forecast VERB iajs-2516 126 32 values value NOUN iajs-2516 126 33 for for ADP iajs-2516 126 34 monthly monthly ADJ iajs-2516 126 35 hypertension hypertension NOUN iajs-2516 126 36 based base VERB iajs-2516 126 37 on on ADP iajs-2516 126 38 𝐴𝑅𝐼𝑀𝐴 𝐴𝑅𝐼𝑀𝐴 PROPN iajs-2516 126 39 2 2 NUM iajs-2516 126 40 , , PUNCT iajs-2516 126 41 1,1 1,1 NUM iajs-2516 126 42 , , PUNCT iajs-2516 126 43 table table NOUN iajs-2516 126 44 2 2 NUM iajs-2516 126 45 showed show VERB iajs-2516 126 46 that that SCONJ iajs-2516 126 47 . . PUNCT iajs-2516 127 1 3.6 3.6 NUM iajs-2516 127 2 results result NOUN iajs-2516 127 3 of of ADP iajs-2516 127 4 ann ann PROPN iajs-2516 127 5 the the DET iajs-2516 127 6 data datum NOUN iajs-2516 127 7 were be AUX iajs-2516 127 8 randomly randomly ADV iajs-2516 127 9 divided divide VERB iajs-2516 127 10 into into ADP iajs-2516 127 11 two two NUM iajs-2516 127 12 independent independent ADJ iajs-2516 127 13 training training NOUN iajs-2516 127 14 and and CCONJ iajs-2516 127 15 testing testing NOUN iajs-2516 127 16 subsets subset NOUN iajs-2516 127 17 , , PUNCT iajs-2516 127 18 80 80 NUM iajs-2516 127 19 % % NOUN iajs-2516 127 20 of of ADP iajs-2516 127 21 the the DET iajs-2516 127 22 data datum NOUN iajs-2516 127 23 was be AUX iajs-2516 127 24 considered consider VERB iajs-2516 127 25 for for ADP iajs-2516 127 26 network network NOUN iajs-2516 127 27 training training NOUN iajs-2516 127 28 and and CCONJ iajs-2516 127 29 20 20 NUM iajs-2516 127 30 % % NOUN iajs-2516 127 31 of of ADP iajs-2516 127 32 data datum NOUN iajs-2516 127 33 was be AUX iajs-2516 127 34 used use VERB iajs-2516 127 35 for for ADP iajs-2516 127 36 network network NOUN iajs-2516 127 37 reliability reliability NOUN iajs-2516 127 38 and and CCONJ iajs-2516 127 39 used use VERB iajs-2516 127 40 for for ADP iajs-2516 127 41 testing testing NOUN iajs-2516 127 42 . . 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PUNCT iajs-2516 129 1 table table NOUN iajs-2516 129 2 3 3 NUM iajs-2516 129 3 : : PUNCT iajs-2516 129 4 results result NOUN iajs-2516 129 5 of of ADP iajs-2516 129 6 ann ann PROPN iajs-2516 129 7 model model NOUN iajs-2516 129 8 for for ADP iajs-2516 129 9 the the DET iajs-2516 129 10 data datum NOUN iajs-2516 129 11 table table NOUN iajs-2516 129 12 4 4 NUM iajs-2516 129 13 contains contain VERB iajs-2516 129 14 a a DET iajs-2516 129 15 comparison comparison NOUN iajs-2516 129 16 between between ADP iajs-2516 129 17 of of ADP iajs-2516 129 18 arima arima PROPN iajs-2516 129 19 ( ( PUNCT iajs-2516 129 20 1 1 NUM iajs-2516 129 21 , , PUNCT iajs-2516 129 22 1 1 NUM iajs-2516 129 23 , , PUNCT iajs-2516 129 24 2 2 NUM iajs-2516 129 25 ) ) PUNCT iajs-2516 129 26 and and CCONJ iajs-2516 129 27 ann5 ann5 PROPN iajs-2516 129 28 ( ( PUNCT iajs-2516 129 29 4 4 NUM iajs-2516 129 30 ) ) PUNCT iajs-2516 129 31 of of ADP iajs-2516 129 32 the the DET iajs-2516 129 33 data datum NOUN iajs-2516 129 34 in in ADP iajs-2516 129 35 order order NOUN iajs-2516 129 36 to to PART iajs-2516 129 37 determine determine VERB iajs-2516 129 38 the the DET iajs-2516 129 39 best good ADJ iajs-2516 129 40 appropriate appropriate ADJ iajs-2516 129 41 model model NOUN iajs-2516 129 42 for for ADP iajs-2516 129 43 prediction prediction NOUN iajs-2516 129 44 hypertension hypertension NOUN iajs-2516 129 45 through through ADP iajs-2516 129 46 the the DET iajs-2516 129 47 use use NOUN iajs-2516 129 48 of of ADP iajs-2516 129 49 mse mse NOUN iajs-2516 129 50 , , PUNCT iajs-2516 129 51 rmse rmse NOUN iajs-2516 129 52 , , PUNCT iajs-2516 129 53 and and CCONJ iajs-2516 129 54 mape mape NOUN iajs-2516 129 55 . . 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PROPN iajs-2516 134 1 for for ADP iajs-2516 134 2 pure pure ADJ iajs-2516 134 3 & & CCONJ iajs-2516 134 4 appl appl PROPN iajs-2516 134 5 . . PUNCT iajs-2516 135 1 sci sci PROPN iajs-2516 135 2 . . PROPN iajs-2516 136 1 33 33 NUM iajs-2516 136 2 ( ( PUNCT iajs-2516 136 3 4 4 NUM iajs-2516 136 4 ) ) PUNCT iajs-2516 136 5 2020 2020 NUM iajs-2516 136 6 year year NOUN iajs-2516 136 7 actual actual ADJ iajs-2516 136 8 arima arima PROPN iajs-2516 136 9 forecast forecast PROPN iajs-2516 136 10 ann5(4 ann5(4 PROPN iajs-2516 136 11 ) ) PUNCT iajs-2516 136 12 forecast forecast NOUN iajs-2516 136 13 aug.2017 aug.2017 ADP iajs-2516 136 14 56 56 NUM iajs-2516 136 15 51.84 51.84 NUM iajs-2516 136 16 51.07 51.07 NUM iajs-2516 136 17 sep sep NOUN iajs-2516 136 18 . . PROPN iajs-2516 137 1 29 29 NUM iajs-2516 138 1 54.69 54.69 NUM iajs-2516 138 2 38.84 38.84 NUM iajs-2516 138 3 oct oct NOUN iajs-2516 138 4 . . PROPN iajs-2516 139 1 53 53 NUM iajs-2516 139 2 56.88 56.88 NUM iajs-2516 139 3 51.83 51.83 NUM iajs-2516 139 4 nov nov PROPN iajs-2516 139 5 . . PROPN iajs-2516 140 1 47 47 NUM iajs-2516 140 2 58.13 58.13 NUM iajs-2516 140 3 51.83 51.83 NUM iajs-2516 140 4 dec dec PROPN iajs-2516 140 5 . . PROPN iajs-2516 141 1 67 67 NUM iajs-2516 141 2 58.94 58.94 NUM iajs-2516 141 3 66.45 66.45 NUM iajs-2516 141 4 jan jan PROPN iajs-2516 141 5 . . PROPN iajs-2516 141 6 2018 2018 NUM iajs-2516 141 7 42 42 NUM iajs-2516 141 8 59.48 59.48 NUM iajs-2516 141 9 47.23 47.23 NUM iajs-2516 141 10 feb feb X iajs-2516 141 11 . . PROPN iajs-2516 141 12 20 20 NUM iajs-2516 142 1 59.85 59.85 NUM iajs-2516 142 2 47.21 47.21 NUM iajs-2516 142 3 mar mar PROPN iajs-2516 142 4 . . PROPN iajs-2516 142 5 61 61 NUM iajs-2516 142 6 60.12 60.12 NUM iajs-2516 142 7 80.72 80.72 NUM iajs-2516 142 8 apr apr NOUN iajs-2516 142 9 . . 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PUNCT iajs-2516 145 1 the the DET iajs-2516 145 2 statistical statistical ADJ iajs-2516 145 3 tests test NOUN iajs-2516 145 4 show show VERB iajs-2516 145 5 that that SCONJ iajs-2516 145 6 the the DET iajs-2516 145 7 data datum NOUN iajs-2516 145 8 are be AUX iajs-2516 145 9 stationary stationary ADJ iajs-2516 145 10 in in ADP iajs-2516 145 11 the the DET iajs-2516 145 12 variance variance NOUN iajs-2516 145 13 , , PUNCT iajs-2516 145 14 but but CCONJ iajs-2516 145 15 not not PART iajs-2516 145 16 stationary stationary ADJ iajs-2516 145 17 in in ADP iajs-2516 145 18 the the DET iajs-2516 145 19 mean mean NOUN iajs-2516 145 20 . . 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PUNCT iajs-2516 187 1 the the DET iajs-2516 187 2 evaluation evaluation NOUN iajs-2516 187 3 on on ADP iajs-2516 187 4 artificial artificial ADJ iajs-2516 187 5 neural neural ADJ iajs-2516 187 6 networks network NOUN iajs-2516 187 7 ( ( PUNCT iajs-2516 187 8 ann ann PROPN iajs-2516 187 9 ) ) PUNCT iajs-2516 187 10 and and CCONJ iajs-2516 187 11 multiple multiple ADJ iajs-2516 187 12 linear linear ADJ iajs-2516 187 13 regressions regression NOUN iajs-2516 187 14 ( ( PUNCT iajs-2516 187 15 mlr mlr NOUN iajs-2516 187 16 ) ) PUNCT iajs-2516 187 17 models model NOUN iajs-2516 187 18 over over ADP iajs-2516 187 19 particulate particulate NOUN iajs-2516 187 20 matter matter NOUN iajs-2516 187 21 ( ( PUNCT iajs-2516 187 22 pm10 pm10 PROPN iajs-2516 187 23 ) ) PUNCT iajs-2516 187 24 variability variability NOUN iajs-2516 187 25 during during ADP iajs-2516 187 26 haze haze NOUN iajs-2516 187 27 and and CCONJ iajs-2516 187 28 non non ADJ iajs-2516 187 29 - - ADJ iajs-2516 187 30 haze haze ADJ iajs-2516 187 31 episodes episode NOUN iajs-2516 187 32 : : PUNCT iajs-2516 187 33 a a DET iajs-2516 187 34 decade decade NOUN iajs-2516 187 35 case case NOUN iajs-2516 187 36 study study NOUN iajs-2516 187 37 ; ; PUNCT iajs-2516 187 38 2019 2019 NUM iajs-2516 187 39 , , PUNCT iajs-2516 187 40 15 15 NUM iajs-2516 187 41 , , PUNCT iajs-2516 187 42 2 2 NUM iajs-2516 187 43 , , PUNCT iajs-2516 187 44 164 164 NUM iajs-2516 187 45 - - SYM iajs-2516 187 46 172 172 NUM iajs-2516 187 47 . . 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