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Nature-Inspired Design of Hybrid Intelligent Systems, Patricia Melin; Oscar Castillo; Janusz Kacprzyk


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Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название:  Nature-Inspired Design of Hybrid Intelligent Systems
ISBN: 9783319470535
Издательство: Springer
Классификация:
ISBN-10: 3319470531
Обложка/Формат: Hardback
Страницы: 838
Вес: 1.44 кг.
Дата издания: 2017
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 258 illustrations, color; 132 illustrations, black and white; xii, 838 p. 390 illus., 258 illus. in color.
Размер: 234 x 156 x 45
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.
Дополнительное описание: Type-2 and Intuitionistic Fuzzy Logic: On the Graphical Representation of Intuitionistic Membership Functions for its use in Intuitionistic Fuzzy Inference Systems.- A gravitational search algorithm using type-2 fuzzy logic for parameter adaptation.- Gene



Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Автор: Oscar Castillo; Witold Pedrycz
Название: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
ISBN: 3642045138 ISBN-13(EAN): 9783642045134
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.

Innovations in Hybrid Intelligent Systems

Автор: Emilio Corchado; Juan Manuel Corchado Rodr?guez; A
Название: Innovations in Hybrid Intelligent Systems
ISBN: 3540749713 ISBN-13(EAN): 9783540749714
Издательство: Springer
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Цена: 33401.00 р.
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Описание: Combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This book contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.


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