Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Author:   Eyal Kolman ,  Michael Margaliot
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
Volume:   234
ISBN:  

9783540880769


Pages:   100
Publication Date:   17 January 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach


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Overview

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.

Full Product Details

Author:   Eyal Kolman ,  Michael Margaliot
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Volume:   234
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   0.348kg
ISBN:  

9783540880769


ISBN 10:   3540880763
Pages:   100
Publication Date:   17 January 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

The FARB.- The FARB–ANN Equivalence.- Rule Simplification.- Knowledge Extraction Using the FARB.- Knowledge-Based Design of ANNs.- Conclusions and Future Research.

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