id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
azojete-670	Omoze, E. L. ; Emagbetere, J. O. 	Artificial Neural Network (ANN) Pathloss Prediction Model for LTE Network for Microcells in an Urban Environment	2022	12	.pdf	application/pdf	4419	210	48	The result of the 20% test data shows that artificial neural network is suitable for predicting pathloss in Benin City. Figure 6 shows a comparative analysis of prediction made using artificial neural network (ANN) and pathloss values obtained from measured data with respect to distance while Figure 7 shows training history of artificial neural network for 100 epochs.	cache/azojete-670.pdf	txt/azojete-670.txt