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隐性知识形成的主体相对性模式识别
引用本文:李保珍,朱庆华,周献中.隐性知识形成的主体相对性模式识别[J].科学学与科学技术管理,2007,28(4):92-96.
作者姓名:李保珍  朱庆华  周献中
作者单位:1. 南京大学,工程管理学院,江苏,南京,210093
2. 南京大学,国家信息资源管理南京研究基地,江苏,南京,210093
基金项目:国家自然科学基金项目(70571032/G01)
摘    要:知识属于认识领域的范畴,不同的主体在对同一事物不同状态的反映过程中,由于实践能力、认识能力以及价值目标的不同,会形成不同的隐性知识。鉴于此,用神经网络模型对确定的主体在对同一事物不同状态的认识过程中的认识模式进行识别,以确定其在某一时期的认识习惯,把握其知识形成机制,以期对其未来的知识形成进行预测。

关 键 词:隐性知识  主体相对性  模式识别  学习矢量量化(LVQ)
文章编号:1002-0241(2007)04-0092-05
修稿时间:2006-11-13

Pattern Recognition with Subject Relativity on Forming Tacit knowledge
LI Baozhen,ZHU Qinghua,ZHOU Xianzhong.Pattern Recognition with Subject Relativity on Forming Tacit knowledge[J].Science of Science and Management of S.& T.,2007,28(4):92-96.
Authors:LI Baozhen  ZHU Qinghua  ZHOU Xianzhong
Institution:1. School of Management and Engineering, Nanjing University, Nanjing 210093, China; 2. National Center for Information Resource Management, Nanjing University, Nanjing 210093,China
Abstract:The knowledge belongs to the understanding domain and the tacit knowledge has the relativity of agent. To the identical things in different conditions, as different practice abilities, different cognitive abilities as well as different value goals, different agent can form the different understanding results. Embarking from above three aspects, We utilize the nerve network model to recognize the understanding process pattern of the definite agent to the identical thing in different conditions, determine his understanding custom in some time, grasp his mechanism of forming knowledge, and forecast his future knowledge carries.
Keywords:tacit knowledge  agent relativity  pattern recognition  learning vector quantization (LVQ)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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