Research on enterprise tacit knowledge management performance appraisal based on artificial neural networks

被引：0
|
作者：
Zhang Qing-pu [1 ]
Shan Wei [1 ]
机构：
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF THE 2006 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (13TH), VOLS 1-3 | 2006年
关键词：
BP algorithm; knowledge management; performance appraisal; tacit knowledge;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on knowledge management theory and performance appraisal methodology, the enterprise tacit knowledge management performance appraisal index system is established, and in view of the neural network structure characteristic, self-adapted and self-taught function, enterprise tacit knowledge management performance appraisal model based on BP neural algorithm is proposed. This model is feasible and suitable in terms of convergence rate, the network adaptability aspect. By using these research results, it can appraise the level of the enterprise tacit knowledge management scientifically, and provide the policy-making basis to correctly instruct enterprise knowledge management development.
引用
收藏
页码：1333 / 1337
页数：5
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