Optimal artificial neural network architecture design for modeling an industrial ethylene oxide plant

•A mixed integer nonlinear programming-based ANN formulation is proposed.•The method detects the optimum input variables and the ideal number of neurons.•The method synthesizes the optimal information flow through the feedforward ANN.•The modified training problem involves the number of connections...

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Vydané v:	Computers & chemical engineering Ročník 163; s. 107850
Hlavní autori:	Sildir, Hasan, Sarrafi, Sahin, Aydin, Erdal
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2022
Predmet:	Artificial neural networks Machine learning Mixed integer nonlinear programming Process modeling Superstructure optimization Superstructure optimization Mixed integer nonlinear programming Process modeling Machine learning Artificial neural networks
ISSN:	0098-1354
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