MLP neural network with an optimal architecture for modeling the ECAP-C process

The Equal Channel Angular Pressing-Conform (ECAP-C) process is one of the Severe Plastic Deformation (SPD) methods used to create the ultrafine-grained structure. The current study investigates an optimized artificial neural network for modeling the ECAP-C process based on experimental tests and fin...

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Veröffentlicht in:	Neural computing & applications 2023, Vol.35 (3), p.2701-2715
Hauptverfasser:	Moradi, Sadegh, Gerdooei, Mahdi, Varedi-Koulaei, Seyyed Mojtaba, Nosrati, Hasan Ghaforian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Artificial neural networks Aspect ratio Coefficient of friction Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Contact angle Data Mining and Knowledge Discovery Design of experiments Equal channel angular pressing Finite element method Heuristic methods Image Processing and Computer Vision Multilayer perceptrons Multilayers Neural networks Nonuniformity Original Article Particle swarm optimization Plastic deformation Probability and Statistics in Computer Science Process parameters Response surface methodology Ultrafines
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