摘要
通过建立一套针对建筑劳务企业的信用评价体系,根据建筑劳务企业的特点构建了相应的评价指标及评分标准,设计了基于遗传算法优化的BP神经网络的信用评价模型,设置灵活可变的相关指标体系使评估模型动态化,对于建筑劳务企业的信用状况进行分析,提供理论依据。
A set of credit evaluation system of the construction subcontracting enterprise was established, according to the characteristics of the construction subcontracting enterprise to build the corresponding evaluation index and scoring standard. Design the credit evaluation model based on a BP neural network, which is optimized by genetic algorithm. By setting up the relevant index system could make the evaluation model flexible and dynamic. This method could help to analyze the construction subcontracting enterprise＇s credit condition, and provide theoretical basis.
出处
《科技和产业》
2014年第10期113-115,172,共4页
Science Technology and Industry
关键词
建筑劳务企业
信用评价
BP神经网络
遗传算法
指标体系
construction subcontracting enterprise
credit evaluation
BP neural network
genetic algorithm
index system
