关键词: 前馈神经网络, 产业链协作, 覆盖件, 模具报价

Abstract: 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 mehod 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.

Key words: back propagation neural network, industry chain collaboration, panel, die quotation