Knowledge-Based Neurocomputing: A Fuzzy Logic Approach / Najlacnejšie knihy
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Code: 01570748

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

by Eyal Kolman, Michael Margaliot

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 ... more

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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

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