Advanced Takagi?Sugeno Fuzzy Systems, Abdellah Benzaouia; Ahmed El Hajjaji

Автор: Edwin Lughofer
Название: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
ISBN: 3642266924 ISBN-13(EAN): 9783642266928
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book presents several evolving fuzzy systems approaches using real-world application scenarios to underline the usefulness and necessity of evolving fuzzy systems. The text also outlines potential new applications and raises open problems and new challenges.

Автор: Abdellah Benzaouia; Ahmed El Hajjaji
Название: Advanced Takagi?Sugeno Fuzzy Systems
ISBN: 3319056387 ISBN-13(EAN): 9783319056388
Издательство: Springer
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Цена: 149060.00 T
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Автор: Chadli
Название: Multiple Models Approach in Automation - Takagi-Sugeno Fuzzy Systems
ISBN: 184821412X ISBN-13(EAN): 9781848214125
Издательство: Wiley
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Цена: 146730.00 T
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Описание: Much of the work on analysis and synthesis problems relating to the multiple model approach has been motivated by the desire to establish the problems of control law synthesis and full state estimation in numerical terms. This book concentrates on the analysis of the stability and synthesis of control laws and observations for multiple models.

Автор: Hung T. Nguyen; Michio Sugeno
Название: Fuzzy Systems
ISBN: 1461375150 ISBN-13(EAN): 9781461375159
Издательство: Springer
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Цена: 186330.00 T
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Описание: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions.

Автор: Vicenc Torra; Yasuo Narukawa; Michio Sugeno
Название: Non-Additive Measures
ISBN: 3319031546 ISBN-13(EAN): 9783319031545
Издательство: Springer
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Цена: 191560.00 T
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Описание: This book provides a comprehensive and timely report in the area of non-additive measures and integrals. It is based on a panel session on fuzzy measures, fuzzy integrals and aggregation operators held during the 9th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2012) in Girona, Spain, November 21-23, 2012.

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi
Название: Data Mining and Big Data
ISBN: 331961844X ISBN-13(EAN): 9783319618449
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. They were organized in topical sections named: association analysis; big data; data analysis; data mining;

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi; Ben Niu
Название: Advances in Swarm Intelligence
ISBN: 3319618326 ISBN-13(EAN): 9783319618326
Издательство: Springer
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Цена: 83850.00 T
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Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi
Название: Advances in Swarm Intelligence
ISBN: 3319618237 ISBN-13(EAN): 9783319618234
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Автор: Yaochu Jin
Название: Advanced Fuzzy Systems Design and Applications
ISBN: 3790825204 ISBN-13(EAN): 9783790825206
Издательство: Springer
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Цена: 130430.00 T
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Описание: Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net- works and evolutionary algorithms based fuzzy rule generation.

Автор: Janusz T. Starczewski
Название: Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
ISBN: 3642448526 ISBN-13(EAN): 9783642448522
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets, presents basic structures of generalized uncertain fuzzy logic systems, and introduces several of methods to generate fuzzy membership uncertainty.