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Deep Neuro Fuzzy Systems Python by Singh Himanshu (19 results)
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Condition: As New. Unread book in perfect condition.
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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484253604 ISBN 13: 9781484253601
Condition: New. pp. 276 1st ed. edition NO-PA16APR2015-KAP.
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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484253604 ISBN 13: 9781484253601
Condition: New. pp. 276.
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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484253604 ISBN 13: 9781484253601
Condition: New. pp. 276.
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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2019. First Edition. paperback. . . . . .
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Deep Neuro-Fuzzy Systems With Python : With Case Studies and Applications from the Industry
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 260 pages. 9.00x6.00x0.50 inches. In Stock.
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Deep Neuro-Fuzzy Systems With Python : With Case Studies and Applications from the Industry
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.35
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Condition: New. 2019. First Edition. paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Deep Neuro-Fuzzy Systems with Python | With Case Studies and Applications from the Industry | Himanshu Singh (u. a.) | Taschenbuch | xv | Englisch | 2019 | Apress | EAN 9781484253601 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains deep neuro-fuzzy systems with applications and mathematical detailsImplementations of all the applications using PythonCovers the recent applications of neuro fuzzy inference systems in industry.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python.You'll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You'll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them.In the last section of the book you'll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications.What You'll LearnUnderstand fuzzy logic, membership functions, fuzzy relations, and fuzzy inferenceReview neural networks, back propagation, and optimizationWork with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy systemWho This book Is ForData scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.
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Deep Neuro-Fuzzy Systems with Python
Language: English
Published by Apress, Apress Dez 2019, 2019
ISBN 10: 1484253604 ISBN 13: 9781484253601
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 -Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python.You'll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You'll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them.In the last section of the book you'll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications.What You'll LearnUnderstand fuzzy logic, membership functions, fuzzy relations, and fuzzy inferenceReview neural networks, back propagation, and optimizationWork with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximationsApply Python implementations of deep neuro fuzzy systemWho This book Is ForData scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.
