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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, Oscar Castillo; Patricia Melin; Janusz Kacprzyk


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Автор: Oscar Castillo; Patricia Melin; Janusz Kacprzyk
Название:  Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
ISBN: 9783319710075
Издательство: Springer
Классификация:


ISBN-10: 3319710079
Обложка/Формат: Hardcover
Вес: 0.95 кг.
Дата издания: 19.01.2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 173 illustrations, color; 66 illustrations, black and white; xi, 546 p. 239 illus., 173 illus. in color.
Размер: 234 x 156 x 30
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.
Дополнительное описание: Part I: Type-2 Fuzzy Logic in Metaheuristics.- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic.- Ensemble Neural Network optimization using a gravitational search algorithm with Int



Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Автор: Frumen Olivas; Fevrier Valdez; Oscar Castillo; Pat
Название: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
ISBN: 3319708503 ISBN-13(EAN): 9783319708508
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.

Advances in Data Mining. Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3642030661 ISBN-13(EAN): 9783642030666
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.

Advances in Data Mining: Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining: Applications and Theoretical Aspects
ISBN: 3319209094 ISBN-13(EAN): 9783319209098
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions.

Advances in Data Mining: Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining: Applications and Theoretical Aspects
ISBN: 3319089757 ISBN-13(EAN): 9783319089751
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014.

Advances in Data Mining. Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3319627007 ISBN-13(EAN): 9783319627007
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.

Advances in Data Mining: Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining: Applications and Theoretical Aspects
ISBN: 3642397352 ISBN-13(EAN): 9783642397356
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013.

Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing

Автор: Hime Aguiar e Oliveira Junior; Lester Ingber; Anto
Название: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing
ISBN: 364243343X ISBN-13(EAN): 9783642433436
Издательство: Springer
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Цена: 18284.00 р.
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Описание: With applications to many areas in science and technology, the technique examined in this volume is a highly effective algorithmic problem-solving tool. Contributions from leading experts cover the latest research and provide detailed examples of its use.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Emotional Cognitive Neural Algorithms with Engineering Applications

Автор: Leonid Perlovsky; Ross Deming; Roman Ilin
Название: Emotional Cognitive Neural Algorithms with Engineering Applications
ISBN: 3642269389 ISBN-13(EAN): 9783642269387
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.


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