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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach - Eyal Kolman,Michael Margaliot

English
2010-10-21
€135.50 €169.38

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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 ... Full description

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Description

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.

More Information

Author Eyal Kolman, Michael Margaliot
Publisher Springer Berlin Heidelberg
Series Studies in Fuzziness and Soft Computing
Release year 2010
Cover type Softcover
EAN 9783642099854
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€135.50 €169.38