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基于BP神经网络的企业核心竞争力评价
引用本文:郭岚,张祥建.基于BP神经网络的企业核心竞争力评价[J].科学学研究,2007,25(1):132-137.
作者姓名:郭岚  张祥建
作者单位:1. 上海社会科学院,上海,200020
2. 上海财经大学财经研究所,上海,200433
基金项目:国家自然科学基金项目(70372057)
摘    要:从企业自身角度出发,设计包含5个维度的企业核心竞争力评价指标体系。基于这些评价指标,构建一个基于人工智能BP神经网络的专家模型,系统地对企业核心竞争力进行定量分析,为企业竞争战略的制定及实施提供有益的工具。实证研究表明,该指标体系与神经网络专家系统能较好地解决对企业核心竞争力进行评价的问题。

关 键 词:核心竞争力  人工智能神经网络  专家系统  指标体系
文章编号:1003-2053(2007)01-0132-06
修稿时间:2006-02-272006-06-30

Assessment of enterprise core competence based on BP ANN
GUO Lan,ZHANG Xiang-jian.Assessment of enterprise core competence based on BP ANN[J].Studies in Science of Science,2007,25(1):132-137.
Authors:GUO Lan  ZHANG Xiang-jian
Institution:1. Shanghai Academy of Social Sciences, Shanghai 200020, China ; 2. Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai 200433, China
Abstract:Core competence is an important factor for modern enterprise to succeed and gain continuous competence advantage,and have received high attention from enterprises and scholars.How to correctly select index and method to assess core competence is a key problem.In order to evaluate the core competence of enterprise properly,a new analysis index system,which includes five elements is put forward.A judging method of Artificial Neural Network Expert Model is put forward in this paper.This paper systematically evaluates enterprise core competence based on the method and provide important basis to establish and actualize enterprise competition strategy for enterprise policy-makers.The application shows that the index system and expert system can evaluate the core competence of enterprise effectively.
Keywords:core competence  artificial neural network  expert system  index system
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