Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, Patricia Melin; Oscar Castillo; Janusz Kacprzyk

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: 156720.00 T
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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.

Автор: M. Teshnehlab; Watanabe Kyoko
Название: Intelligent Control Based on Flexible Neural Networks
ISBN: 0792356837 ISBN-13(EAN): 9780792356837
Издательство: Springer
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Цена: 158380.00 T
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Описание: The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. It is aimed at electrical, electronic, and mechanical control and systems engineers.

Автор: M. Teshnehlab; Watanabe Kyoko
Название: Intelligent Control Based on Flexible Neural Networks
ISBN: 9048152070 ISBN-13(EAN): 9789048152070
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Цена: 158380.00 T
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Описание: References . 57 Chapter 3 Flexible Neural Networks . 3 Flexible Bipolar Sigmoid Functions . 5 Examples . 3 Flexible Neural Network as an Indirect Controller . 5 Simulation Examples . 3 Computed Torque Control . 4 Self-tunig Computed Torque Control . 5 Simulation Examples . 3 Simulation Examples .

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Nature-Inspired Design of Hybrid Intelligent Systems
ISBN: 3319470531 ISBN-13(EAN): 9783319470535
Издательство: Springer
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Цена: 232910.00 T
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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.

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 243800.00 T
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 9401737738 ISBN-13(EAN): 9789401737739
Издательство: Springer
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Цена: 139750.00 T
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Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.

Автор: Yongsheng Ding; Lei Chen; Kuangrong Hao
Название: Bio-Inspired Collaborative Intelligent Control and Optimization
ISBN: 9811066884 ISBN-13(EAN): 9789811066887
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications.

Автор: Ronald R. Yager; Lotfi A. Zadeh
Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems
ISBN: 1461366194 ISBN-13(EAN): 9781461366195
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Цена: 186330.00 T
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Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 0792395751 ISBN-13(EAN): 9780792395751
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Цена: 213360.00 T
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Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
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Цена: 65210.00 T
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk; M
Название: Fuzzy Logic in Intelligent System Design
ISBN: 3319671367 ISBN-13(EAN): 9783319671369
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems.

Автор: Dmitrii Lozovanu; Stefan Pickl
Название: Optimization of Stochastic Discrete Systems and Control on Complex Networks
ISBN: 3319118323 ISBN-13(EAN): 9783319118321
Издательство: Springer
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Цена: 121110.00 T
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Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.