An evaluating system for invite bid of Chinese Books purchasing based on BP neural network

Yuhua Liu, P. Xie, Hongxia Liu
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Abstract

On the basis of the establishment of evaluation index for book procurement tender, an evaluating system of book procurement tender was presented based on BP neural network algorithm. This designed system increased the speed of algorithm and improved the performance of algorithm. The analytic hierarchy process method was used to generate samples of network, which used the advantage of BP neural networks effectively and avoided some human errors in the process of evaluation for book procurement tender. Simulation results showed that this system was satisfactory. It can overcome some disturbances coming from subjective determine of normal values and weights effectively in the process of evaluation and evaluate the suppliers objectively. Therefore, the system can be an effective tool for choosing proper suppliers during the book procurement tender in the library.
基于BP神经网络的中文图书采购招标评估系统
在建立图书采购招标评价指标的基础上,提出了一种基于BP神经网络算法的图书采购招标评价体系。该系统提高了算法的速度,提高了算法的性能。采用层次分析法生成网络样本,有效地利用了BP神经网络的优势,避免了图书采购招标评标过程中的人为误差。仿真结果表明,该系统是令人满意的。它能有效克服评价过程中主观确定正常值和权重所带来的干扰,对供应商进行客观评价。因此,该系统可以作为图书馆图书采购招标中选择合适供应商的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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