期刊文献+

隐性知识形成的主体相对性模式识别 被引量:2

Pattern Recognition with Subject Relativity on Forming Tacit knowledge
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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。 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.
出处 《科学学与科学技术管理》 CSSCI 北大核心 2007年第4期92-96,共5页 Science of Science and Management of S.& T.
基金 国家自然科学基金项目(70571032/G01)
关键词 隐性知识 主体相对性 模式识别 学习矢量量化(LVQ) tacit knowledge agent relativity pattern recognition learning vector quantization (LVQ)
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二级参考文献1

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