An evaluation of recurrent neural network modelling for the prediction of damage evolution during forming

Journal of Materials Processing Technology

Volumn 170, Issue 3, 2005, Pages 551-562

  Xiong, Y S ^a   Withers, P J ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayesian algorithm; Damage evolution; Forging; Metal matrix composites; Microstructure modelling; Recurrent neural network

Indexed keywords

ALGORITHMS; COMPOSITE MATERIALS; FORGING; FORMING; MATHEMATICAL MODELS; MICROSTRUCTURE;

BAYESIAN ALGORITHMS; DAMAGE EVOLUTION; METAL MATRIX COMPOSITES; MICROSTRUCTURE MODELING;

RECURRENT NEURAL NETWORKS;

EID: 29144441556     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2005.01.016     Document Type: Article

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