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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Gebonden Engels 2009 2009e druk 9783540880769
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Samenvatting

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.

Specificaties

ISBN13:9783540880769
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:100
Uitgever:Springer Berlin Heidelberg
Druk:2009

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Inhoudsopgave

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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        Knowledge-Based Neurocomputing: A Fuzzy Logic Approach