标准科学Issue(6)：42-46,5.DOI:10.3969/j.issn.1674-5698.2017.06.008
基于BP神经网络的企业标准化综合评价方法研究
Research on Comprehensive Evaluation Method of Enterprise Standardization Based on BP Neural Network
王瑾 1吴琼 1汉鹏武 1孙育军2
作者信息
- 1. 北京航天长征科技信息研究所
- 2. 国防科技大学信息系统与管理学院
- 折叠
摘要
Abstract
As a significant tool to address series of problems regarding major non-linear science and intellectual calculation study, BP neural network plays an essential role in solving qualitative questions with quantitative methods. With the typical characteristic of non-linear, standardization is a complicated field between social science and natural science, which leads to difficulties when it comes to putting certain guideline to correct amount. Major methods have been adopted by some institutions and projects in order to evaluate standardization with professional score, which brings certain discommodity and inconvenience to management. Based on the advantage of neural network in addressing non-linear problems and through the comprehensive evaluation index system, this paper builds a three-level BP neural network and offers relevant methods of calculation. It can be seen clearly through performance analysis that the comprehensive evaluation method of standardization holds certain advancement which provides far-reaching significance for improving the scientificalness of standardization.关键词
BP神经网络/标准化/评价方法Key words
BP neural network/standardization/evaluation method引用本文复制引用
王瑾,吴琼,汉鹏武,孙育军..基于BP神经网络的企业标准化综合评价方法研究[J].标准科学,2017,(6):42-46,5.
