Eyal Kolman, Michael Margaliot

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 100
• Erscheinungstermin: 18. Oktober 2008
• Englisch
• ISBN-13: 9783540880776
• Artikelnr.: 43884990

Inhaltsangabe

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