Transactions of Materials and Heat Treatment

Title：Research on the evaluation system of stamping difficulty of ART2 network plate

Authors： LIU Zhan-jun DENG Zhong-lin (Aeronautics and Astronautics College Shenyang Institute of Aeronautical Engineering Shenyang Liaoning 110034 China)

Unit：

KeyWords： evaluation system of plate stamping difficulty adaptive neural networks dynamic evaluation algorithm local shaping degree of stamping

ClassificationCode：TP399

year,vol(issue):pagenumber：2005,30(4):79-81

Abstract：

The evaluation system and model of plate stamping difficulty is brought forward .Introducing the local shaping degree of plate stamping rupture, the evaluation system of plate stamping difficulty is particularly built.Forming a relative standard specimen with the blur and integrated evaluation method , the structure and internal function principle of adaptive neural networks is studied.Connected with goal specimen, the classified evaluation algorithm of dynamic evaluation of plate stamping difficulty is introduced.The predicted result on the sample is shown that the classified evaluation algorithm of dynamic evaluation of plate stamping difficulty and dynamic quantization analysis overcome effectively the blindness of traditional man-made evaluation.

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Reference：

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[4]　韩小云,刘瑞岩.ART2网络学习算法的改进[J].数据采集与处理,1996,11(4):241245.

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