Knowledge-Based Neurocomputing

A Fuzzy Logic Approach

By: Eyal Kolman, Michael Margaliot

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Paperback | 21 October 2010

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Paperback
118 Pages

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23.39 x 15.6 x 0.64

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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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