Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Kolman, Eyal (Author), Margaliot, Michael (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Fuzziness and Soft Computing, 234
Subjects:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Online Access:Texto Completo
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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