Transactions of Materials and Heat Treatment

Title：Flow stress prediction in magnesium alloy based on BP neural networks

Authors： FU Ming-fu FAN Hong-chun ZHANG Ting-fang (Mechanical and Electronic school Nanchang University Nanchang 330031 China)

Unit：

KeyWords： BP neural network prediction flow stress magnesium alloy

ClassificationCode：TG146.22

year,vol(issue):pagenumber：2008,33(2):157-159

Abstract：

BP neural network is better than the traditional mathematics module in nonlinear system prediction.To meet the demand of improving accuracy,the author designed the flow stress prediction model based on BP neural networks,which applied the neural networks to practical engineering in magnesium alloy ME20M.One mathematics module was presented upon the study of previous module with a good simulation result based on the actual data got from the magnesium alloy.The BP networks model shows that its performance is better than that of the traditional mathematics model in practice.

Funds：

江西省教育厅2006年资助项目。赣教技字[2006]53号

Reference：

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