Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Michael Margaliot

ISBN 10: 3540880763 / ISBN 13: 9783540880769

Verlag: Springer Berlin Heidelberg, 2009

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783540880769

Bibliografische Details

Titel: Knowledge-Based Neurocomputing: A Fuzzy ...

Verlag: Springer Berlin Heidelberg

Erscheinungsdatum: 2009

Einband: Buch

Zustand: Neu

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Inhaltsangabe:

Book by Kolman Eyal Margaliot Michael

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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.