A neural networks based approach to knowledge aquistion and expert systems
學年 82
學期 1
發表日期 1993-10-17
作品名稱 A neural networks based approach to knowledge aquistion and expert systems
作品名稱（其他語言）
著者 DeClaris, Nicholas; 蘇木春; Su, Mu-chun
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
會議地點 Le Touquet, France
摘要 Often a major difficulty in the design of expert systems is the process of acquiring the requisite knowledge in the form of production rules. This paper presents a novel class of neural networks which are trained in such a way that they provide an appealing solution to the problem of knowledge acquisition. The value of the network parameters, after sufficient training, are then utilized to generate production rules on the basis of preselected meaningful coordinates. Further, the paper provides a mathematical framework for achieving reasonable generalization properties via an appropriate training algorithm (supervised decision-directed learning) with a structure that provides acceptable knowledge representations of the data, The concepts and methods presented in the paper are illustrated through one practical example from medical diagnosis.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19931017~19931020
通訊作者
國別 FRA
公開徵稿
出版型式 紙本
出處 Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on (Volume:2 ), pp.645-650
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