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9783030722821 - Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools: 408 Studies in Fuzziness and Soft Computing, 408 by Dombi, József; Csiszár, Orso... (10 results)
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Studies in Fuzziness and Soft Computing)
Book 174 of 183: Studies in Fuzziness and Soft ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Ł 127.60
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Book 174 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030722821 ISBN 13: 9783030722821
Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools | József Dombi (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | xxi | Englisch | 2022 | Springer | EAN 9783030722821 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Book 174 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030722821 ISBN 13: 9783030722821
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.
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Condition: new. Questo č un articolo print on demand.
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Book 174 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer International Publishing Apr 2022, 2022
ISBN 10: 3030722821 ISBN 13: 9783030722821
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community. 196 pp. Englisch.
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Book 174 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer, Springer Apr 2022, 2022
ISBN 10: 3030722821 ISBN 13: 9783030722821
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.
