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Study of the Input Variables for BP NN Based Supplier Evaluation ModelJian

机译:基于BP神经网络的供应商评价模型的输入变量研究。

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The development of the BP NN is part of the research project of internet based intelligent supplier selection and evaluation system. According to obtained information from Google Search Engine, the possible suppliers will be classified and put into the data file which is used for the further evaluation. In the paper the BP NN model used for supplied evaluation is introduced first, and then the six input variables have been discussed for the BP NN model. The raw data of each variable has to be converted into BP NN model accepted format for training and application. The conversion methods for each valuable have been discussed in the paper as well. Final, the test results show the successful system running.
机译:BP NN的开发是基于Internet的智能供应商选择和评估系统研究项目的一部分。根据从Google搜索引擎获得的信息,可能的供应商将被分类并放入数据文件中,以进行进一步评估。在本文中,首先介绍了用于提供评估的BP神经网络模型,然后讨论了BP神经网络模型的六个输入变量。每个变量的原始数据都必须转换为BP NN模型接受的格式,以进行训练和应用。本文还讨论了每种贵重物品的转换方法。最终,测试结果表明系统已成功运行。

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