Hybrid Computational Intelligent Systems, Bhattacharyya, Siddhartha

Автор: Thakare, Anuradha,
Название: Hybrid intelligent systems for information retrieval /
ISBN: 1032035684 ISBN-13(EAN): 9781032035680
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: The book covers three areas along with the introduction to Intelligent IR, i.e. Optimal Information Retrieval using Evolutionary approaches, Semantic Search for Web Information Retrieval and Natural Language Processing for Information Retrieval.

Автор: Kavita Taneja, Harmunish Taneja
Название: Data science and innovations for intelligent systems :
ISBN: 0367676273 ISBN-13(EAN): 9780367676278
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja
Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
ISBN: 3319382748 ISBN-13(EAN): 9783319382746
Издательство: Springer
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Цена: 28732.00 р.
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Описание: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems.

Автор: Patricia Melin; Witold Pedrycz
Название: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
ISBN: 3642260659 ISBN-13(EAN): 9783642260650
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important research areas such as fuzzy and bio-inspired problem-solving models.

Автор: Abraham
Название: Hybrid Intelligent Systems
ISBN: 3319763504 ISBN-13(EAN): 9783319763507
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017.

Автор: Yuehui Chen; Ajith Abraham
Название: Tree-Structure based Hybrid Computational Intelligence
ISBN: 3642047386 ISBN-13(EAN): 9783642047381
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Foundations of Computational Intelligence.- Foundations of Computational Intelligence.- Flexible Neural Trees.- Flexible Neural Tree: Foundations and Applications.- Hierarchical Neural Networks.- Hierarchical Neural Networks.- Hierarchical Fuzzy Systems.- Hierarchical Fuzzy Systems.- Reverse Engineering of Dynamical Systems.- Reverse Engineering of Dynamic Systems.- Conclusions and Future Research.- Concluding Remarks and Further Research.

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: 34937.00 р.
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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: Nazmul Siddique
Название: Intelligent Control
ISBN: 3319021346 ISBN-13(EAN): 9783319021348
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Based on the most advanced experimental results and tests, this volume presents a modular switching fuzzy logic controller that embodies today`s trend in intelligent control, combining differing technologies to create a powerful next-generation hybrid.

Автор: Jeffrey W. Tweedale; Lakhmi C. Jain
Название: Recent Advances in Knowledge-based Paradigms and Applications
ISBN: 3319016482 ISBN-13(EAN): 9783319016481
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models.

Автор: Ajith Abraham; Sang Yong Han; Salah A. Al-Sharhan;
Название: Hybrid Intelligent Systems
ISBN: 3319272209 ISBN-13(EAN): 9783319272207
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This bookis devoted to the hybridization of intelligent systems which is a promisingresearch field of modern computational intelligence concerned with thedevelopment of the next generation of intelligent systems.

Автор: Nazmul Siddique
Название: Intelligent Control
ISBN: 3319343483 ISBN-13(EAN): 9783319343488
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Based on the most advanced experimental results and tests, this volume presents a modular switching fuzzy logic controller that embodies today`s trend in intelligent control, combining differing technologies to create a powerful next-generation hybrid.

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz
Название: Soft Computing for Hybrid Intelligent Systems
ISBN: 3540708111 ISBN-13(EAN): 9783540708117
Издательство: Springer
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Цена: 27245.00 р.
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Описание: This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects and application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described.