Fuzzy rule extraction from neural network

Pao Yue-kong Library Electronic Theses Database

Fuzzy rule extraction from neural network


Author: Wong, Chak-wing
Title: Fuzzy rule extraction from neural network
Degree: M.Sc.
Year: 1998
Subject: Fuzzy systems
Neural networks (Computer science)
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Computing
Pages: 135 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1436931
URI: http://theses.lib.polyu.edu.hk/handle/200/770
Abstract: Neural Network has been successfully applied in a wide range of applications. However, the neural network is non-transparent and provides no explanatory capability support for a given output. In this paper, we examine the properties concerning the Causal Index Technique for extracting fuzzy rules from a multiple layered neural network. Specially, this paper focuses on the fundamental algorithm, prototype development method, stepwise case simulation approach and the analysis of various empirical results. Finally the strengths and weakness in relation to the Causal Index Technique are examined.

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