Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing (234))
Language: English
Published by Springer, 2009
- Hardcover
- Used
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- Title
- Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing (234))
- Author
- Kolman, Eyal, Margaliot, Michael
- Publisher
- Springer
- Publication year
- 2009
- Condition
- Like New
- Book Type
- book
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3540880763
- ISBN 13
- 9783540880769
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Mispah books
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