Kniha Knowledge-Based Neurocomputing: A Fuzzy Logic Approach Eyal Kolman

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 286
In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permu...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2009
Stránek
100
EAN
9783540880769
ISBN
3540880763
Enbook ID
01570748
Vydavatel
Hmotnost
345
Rozměry
155 x 235 x 13

Kompletní popis

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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