A Mixed-Integer linear programming based training and feature selection method for artificial neural networks using piece-wise linear approximations

•A piece-wise linear ANN training is proposed.•Non-convex layers in ANNs are approximated using piece-wise linear segments.•The method detects the optimum features to be selected for ANNs.•Layer and objective function convexities bring about unique solutions.•Convexity of the method benefits from co...

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Vydané v:	Chemical engineering science Ročník 249; s. 117273
Hlavní autori:	Sildir, Hasan, Aydin, Erdal
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.02.2022
Predmet:	Artificial neural networks Feature selection Machine learning Mixed-integer programming Piece-wise linear artificial neural networks Feature selection Piece-wise linear artificial neural networks Mixed-integer programming Machine learning Artificial neural networks
ISSN:	0009-2509
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