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|a 9783540880776
|9 978-3-540-88077-6
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|a 10.1007/978-3-540-88077-6
|2 doi
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|a Q334-342
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|a 006.3
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|a Kolman, Eyal.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
|h [electronic resource] /
|c by Eyal Kolman, Michael Margaliot.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a XVI, 100 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 234
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|a The FARB -- The FARB-ANN Equivalence -- Rule Simplification -- Knowledge Extraction Using the FARB -- Knowledge-Based Design of ANNs -- Conclusions and Future Research.
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|a 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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|a Artificial intelligence.
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|a Engineering mathematics.
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|a Engineering-Data processing.
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|a Artificial Intelligence.
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|a Mathematical and Computational Engineering Applications.
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|a Margaliot, Michael.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642099854
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|i Printed edition:
|z 9783540881759
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|i Printed edition:
|z 9783540880769
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 234
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|u https://doi.uam.elogim.com/10.1007/978-3-540-88077-6
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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