首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >Study on Application of the BP Neural Network Model of Main factor analysis of Grey Relationship in Evaluating Innovation Ability of Zone Logistics System
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Study on Application of the BP Neural Network Model of Main factor analysis of Grey Relationship in Evaluating Innovation Ability of Zone Logistics System

机译:灰关联分析的BP神经网络模型在区域物流系统创新能力评价中的应用研究。

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摘要

The factors that influence on the improvement of the innovation ability in an area are extensive. In order to separate the facilitated function of the logistics from a lot of factors, this paper adopts the analysis method of grey-relationship principle divisor to screen out the evaluation target of the innovation ability of logistics, and establishes the evaluation model of neural network of the innovation ability of zone logistics. The research indicates that this method debases efficiently the complex degree of network caused by multiple target evaluation, improves the precision of input data of network, so that it reduces the error more effectively.Besides,this method doesn't only evaluate the discretion of innovation ability in different areas, but also can find the reason that causes the differences, through the comparison of each divisor.
机译:影响区域创新能力提高的因素广泛。为了将物流的便利功能从众多因素中分离出来,本文采用灰色关联度除数的分析方法,筛选出物流创新能力的评价指标,建立了物流神经网络的评价模型。区域物流的创新能力。研究表明,该方法有效地降低了多目标评估所引起的复杂网络程度,提高了网络输入数据的精度,从而更有效地减少了误差。此外,该方法不仅评估了创新的自由度。通过对每个除数的比较,可以发现不同区域的能力,还可以找到导致差异的原因。

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