ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559
Regular Article
Artificial Neural Network Modeling of Flow Stress in Hot Rolling
Parya AghasafariHamid AbdiMahmoud Salimi
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2014 Volume 54 Issue 4 Pages 872-879

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Abstract

In this study, an artificial neural network model is proposed to predict the flow stress variations during the hot rolling process. Optimization of the proposed neural network with respect to number of neurons within the hidden layer, different training methods and transfer functions of the neural network is performed. The results of the optimal network were compared with those of the conventional analytic method and it is shown that using an optimal neural network the mean calculated error is drastically reduced.

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© 2014 by The Iron and Steel Institute of Japan
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