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Knowledge Based Neurocomputing Fuzzy Logic by Kolman Eyal (20 results)
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Published by Springer Berlin Heidelberg, 2009
ISBN 10: 3540880763 ISBN 13: 9783540880769
Language: English
£ 30.53
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing, 234)
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642099858 ISBN 13: 9783642099854
Language: English
First Edition
£ 92.02
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Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2009
ISBN 10: 3540880763 ISBN 13: 9783540880769
Language: English
£ 92.31
Convert currency£ 37.21 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Hardcover. Condition: Brand New. 1st edition. 100 pages. 9.50x6.50x0.25 inches. In Stock.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing, 234)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. 2010. Paperback. . . . . . Books ship from the US and Ireland.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2009
ISBN 10: 3540880763 ISBN 13: 9783540880769
Language: English
£ 162.76
Convert currency£ 27.54 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642099858 ISBN 13: 9783642099854
Language: English
First Edition
£ 164.82
Convert currency£ 27.54 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642099858 ISBN 13: 9783642099854
Language: English
£ 82.98
Convert currency£ 21.82 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in knowledge-based neurocomputing Presents a new connection between artificial neural networks (ANNs) and a special fuzzy rule-base - the all permutations fuzzy rule-base (FARB)In this monograph, the author.
