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Auto panel die quotation system based on back propagation neural network

  • Wei Lin
  • , Yu Ming Zhu
  • , Ji Hong Liu*
  • *此作品的通讯作者
  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

It was difficult for traditional die quotation methods to satisfy high precision and efficiency requirements in modern markets. To deal with this problem, a panel die quotation method based on Back Propagation Neural Network (BPNN) was proposed. Firstly, an auto panel die quotation method architecture including BPNN, weight method and man-hour method was proposed, which could support the whole process quotation. Then, the auto panel die quotation system supporting industry chain collaboration was developed, and integrated with the public service platform of auto die industry chain collaboration. Different quotation phases and the various application objects in different industry chains could be supported by the system. Finally, examples were used to verify the applicability, rationality and effectiveness of the BPNN quotation method.

源语言英语
页(从-至)2280-2287
页数8
期刊Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
15
11
出版状态已出版 - 11月 2009

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