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基于BP神经网络的企业知识流绩效评价研究
引用本文:张悟移,刘洁.基于BP神经网络的企业知识流绩效评价研究[J].科技管理研究,2011,31(9).
作者姓名:张悟移  刘洁
作者单位:昆明理工大学管理与经济学院,云南昆明,650093
基金项目:国家自然科学基金资助项目“基于知识链和核心企业的供应链知识流管理模型研究”(70762001); 昆明理工大学引进人才基金资助项目“云南省中青年学术技术带头人后备人才研究”(KKZ0200708041)
摘    要:知识在交流中形成知识流,为使知识流健康发展,科学、全面地评价知识流的绩效至关重要。采用BP神经网络的方法解决企业知识绩效评价的问题,建立企业知识绩效评价模型,并结合算例进行分析。应用示例表明该模型具有较高的精度和效率,在知识绩效评价中具有较好的应用价值。

关 键 词:BP神经网络  知识绩效评价  知识流  

Research on Performance Evaluation of Enterprise Knowledge Flow Based on BP Neural Network
ZHANG Wuyi,LIU Jie.Research on Performance Evaluation of Enterprise Knowledge Flow Based on BP Neural Network[J].Science and Technology Management Research,2011,31(9).
Authors:ZHANG Wuyi  LIU Jie
Institution:ZHANG Wuyi,LIU Jie(Management and Economics School,Kunming University of Science and Technology,Kunming 650093,China)
Abstract:The knowledge becomes knowledge flow during communication,which has significant influence on the healthy development of knowledge flow.On the other side,the communication of knowledge plays an important role for evaluating the performance of knowledge flow scientifically and comprehensively.This article focuses on the way of using BP model for solving the issues of enterprise performance evaluation,and establishes the model of enterprise performance evaluation and analyses the data with a sample.The sample ...
Keywords:BP neural network  knowledge performance evaluation  knowledge flow  
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