Articles liés à Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach - Couverture rigide

Kolman, Eyal; Margaliot, Michael

 
9783540880769: Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Synopsis

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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Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.