Eyal Kolman & Michael Margaliot 
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach [PDF ebook] 

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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.

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Table des matières

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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Langue Anglais ● Format PDF ● Pages 100 ● ISBN 9783540880776 ● Maison d’édition Springer Berlin ● Lieu Heidelberg ● Pays DE ● Publié 2008 ● Téléchargeable 24 mois ● Devise EUR ● ID 4457409 ● Protection contre la copie Adobe DRM
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