Neural network based approach to knowledge acquisition and expert systems

Nicholas DeClaris, Mu Chun Su

研究成果: 書貢獻/報告類型會議論文篇章同行評審

12 引文 斯高帕斯(Scopus)

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.

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主出版物標題Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
編輯 Anon
發行者Publ by IEEE
頁面645-650
頁數6
ISBN(列印)0780309111
出版狀態已出版 - 1993
事件Proceedings of 1993 International Conference on Systems, Man and Cybernetics - Le Touquet, Fr
持續時間: 17 10月 199320 10月 1993

出版系列

名字Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
2
ISSN(列印)0884-3627

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???event.eventtypes.event.conference???Proceedings of 1993 International Conference on Systems, Man and Cybernetics
城市Le Touquet, Fr
期間17/10/9320/10/93

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