Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

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143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 169.3800 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Michael Margaliot, Eyal Kolman,
Serija: Studies in Fuzziness and Soft Computing
Leidėjas: Springer Berlin Heidelberg
Išleidimo metai: 2009
Knygos puslapių skaičius: 116
ISBN-10: 3540880763
ISBN-13: 9783540880769
Formatas: 241 x 160 x 12 mm. Knyga kietu viršeliu
Kalba: Anglų

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