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

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Език: Английски език
Корици: С твърди корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 10-13 дни
105.26 205.87 лв
In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permu...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2009
страници
100
EAN
9783540880769
ISBN
3540880763
Enbook ID
01570748
Издател
Теглоt
345
Размери
155 x 235 x 13

Пълно описание

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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