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Knowledge-Based Neurocomputing : A Fuzzy Logic Approach - Eyal Kolman

Knowledge-Based Neurocomputing

A Fuzzy Logic Approach

By: Eyal Kolman, Michael Margaliot

eText | 18 October 2008

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In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.
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Published: 21st October 2010

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