Advances in Computational Intelligence and Learning, Hans-J?rgen Zimmermann; Georgios Tselentis; Maarte

Автор: Hans-J?rgen Zimmermann; Georgios Tselentis; Maarte
Название: Advances in Computational Intelligence and Learning
ISBN: 9401038724 ISBN-13(EAN): 9789401038720
Издательство: Springer
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Цена: 139750.00 T
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Автор: Wen Yu; Edgar N. Sanchez
Название: Advances in Computational Intelligence
ISBN: 3642031552 ISBN-13(EAN): 9783642031557
Издательство: Springer
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Цена: 353110.00 T
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Описание: This book constitutes the proceedings of the second International Workshop on Advanced Computational Intelligence (IWACI 2009), with a sequel of IWACI 2008 successfully held in Macao, China.

Автор: Fatos Xhafa; Santi Caball?; Ajith Abraham; Thanasi
Название: Computational Intelligence for Technology Enhanced Learning
ISBN: 3642112234 ISBN-13(EAN): 9783642112232
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book records advances in using intelligent techniques for technology enhanced learning, and development of e-Learning applications based on such techniques and supported by technology. Covers adaptive learning and data mining techniques, among others.

Автор: Angelov
Название: Advances in Computational Intelligence Systems
ISBN: 3319465619 ISBN-13(EAN): 9783319465616
Издательство: Springer
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Цена: 204970.00 T
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Описание: The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Автор: Fatos Xhafa; Santi Caball?; Ajith Abraham; Thanasi
Название: Computational Intelligence for Technology Enhanced Learning
ISBN: 3642262503 ISBN-13(EAN): 9783642262500
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book records advances in using intelligent techniques for technology enhanced learning, and development of e-Learning applications based on such techniques and supported by technology. Covers adaptive learning and data mining techniques, among others.

Автор: Norbert Jankowski; W?odzis?aw Duch; Krzysztof Gr?b
Название: Meta-Learning in Computational Intelligence
ISBN: 3642268587 ISBN-13(EAN): 9783642268588
Издательство: Springer
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Цена: 204040.00 T
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Описание: This book defines and discusses new theoretical and practical trends in meta-learning, which shifts the focus of the field of computational intelligence (CI) from individual learning algorithms to the higher level of learning how to learn.

Автор: Rojas Ignacio
Название: Advances in Computational Intelligence
ISBN: 3642386814 ISBN-13(EAN): 9783642386817
Издательство: Springer
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Цена: 65220.00 T
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Описание: This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013.

Автор: Rami Abielmona; Rafael Falcon; Nur Zincir-Heywood;
Название: Recent Advances in Computational Intelligence in Defense and Security
ISBN: 3319264486 ISBN-13(EAN): 9783319264486
Издательство: Springer
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Цена: 167700.00 T
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Описание: This volume is an initiative undertaken by the IEEE Computational Intelligence Society`s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions.