id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ap-5173	Kačur, Ján; Durdán, Milan; Laciak, Marek; Flegner, Patrik	A COMPARATIVE STUDY OF DATA-DRIVEN MODELING METHODS FOR SOFT-SENSING IN UNDERGROUND COAL GASIFICATION	2019	30	.pdf	application/pdf	21835	1016	71	The piecewise-linear type of MARS models better fits the training data but, in the prediction on un- trained data, better results with the piecewise-cubic type of the model (see Table 4) are obtained. Equation (31) represents a resulting piecewise-cubic type of MARS model for the prediction of the under- ground temperature. Proposal of Neural network considered for UCG data prediction.	cache/ap-5173.pdf	txt/ap-5173.txt