Knowledge-Based Neurocomputing: A Fuzzy Logic Approach: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing): 234 - Brossura

Kolman, Eyal

 
9783642099854: Knowledge-Based Neurocomputing: A Fuzzy Logic Approach: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing): 234

Sinossi

This book details the state-of-the-art in knowledge-based neurocomputing. It introduces a novel fuzzy-rule base known as Fuzzy All-permutations Rule-Base (FARB) and presents new connections between artificial neural networks and FARB.

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Dalla quarta di copertina

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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Altre edizioni note dello stesso titolo

9783540880769: Knowledge-Based Neurocomputing: A Fuzzy Logic Approach: 234

Edizione in evidenza

ISBN 10:  3540880763 ISBN 13:  9783540880769
Casa editrice: Springer Verlag, 2009
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