Hybrid Intelligent Systems, Abraham

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 95930.00 T
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Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Автор: Oscar Castillo, Patricia Melin
Название: Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
ISBN: 3031220412 ISBN-13(EAN): 9783031220418
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance.

In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

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: 104480.00 T
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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: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja
Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
ISBN: 3319051695 ISBN-13(EAN): 9783319051697
Издательство: Springer
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Цена: 200260.00 T
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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: 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: 139310.00 T
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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: 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: Francisco Javier Mart?nez de Pis?n; Rub?n Urraca;
Название: Hybrid Artificial Intelligent Systems
ISBN: 3319596497 ISBN-13(EAN): 9783319596495
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions.

Автор: Patricia Melin; German Prado-Arechiga
Название: New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
ISBN: 3319611488 ISBN-13(EAN): 9783319611488
Издательство: Springer
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Цена: 69870.00 T
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Описание: The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters.

Автор: Ajith Abraham; Abdelkrim Haqiq; Adel M. Alimi; Ghi
Название: Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
ISBN: 3319529404 ISBN-13(EAN): 9783319529400
Издательство: Springer
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Цена: 260870.00 T
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Описание: This book presents the latest research in hybrid intelligent systems. It includes 57 carefully selected papers from the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) and the 8th World Congress on Nature and Biologically Inspired Computing (NaBIC 2016), held on November 21-23, 2016 in Marrakech, Morocco.

Автор: Oscar Castillo; Patricia Melin; Janusz Kacprzyk
Название: Recent Advances on Hybrid Intelligent Systems
ISBN: 3642438598 ISBN-13(EAN): 9783642438592
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book examines hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern and time series recognition, and optimization of complex problems. Covers applications in natural language processing and more.

Автор: Enrique Onieva; Igor Santos; Eneko Osaba; H?ctor Q
Название: Hybrid Artificial Intelligent Systems
ISBN: 331919643X ISBN-13(EAN): 9783319196435
Издательство: Springer
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Цена: 81990.00 T
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Описание: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.

Автор: Francisco Mart?nez-?lvarez; Alicia Troncoso; H?cto
Название: Hybrid Artificial Intelligent Systems
ISBN: 3319320335 ISBN-13(EAN): 9783319320335
Издательство: Springer
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Цена: 81990.00 T
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Описание: Thisvolume constitutes the refereed proceedings of the 11th International Conferenceon Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, inApril 2016. The 63full papers published in this volume were carefully reviewed and selected from150 submissions.