Soft Computing in Acoustics, Bozena Kostek

Автор: Bozena Kostek
Название: Soft Computing in Acoustics
ISBN: 366213005X ISBN-13(EAN): 9783662130056
Издательство: Springer
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Цена: 14818.00 р.
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Автор: Kauko Leivisk?
Название: Industrial Applications of Soft Computing
ISBN: 3790824887 ISBN-13(EAN): 9783790824889
Издательство: Springer
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Цена: 17684.00 р.
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Описание: Applications of Soft Computing have recently increased and methodological development has been strong. It describes the principles and results of industrial applications of Soft Computing methods and introduces new possibilities to gain technical and economic benefits by using this methodology.

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 13415.00 р.
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Автор: Jose M. Benitez; Oscar Cordon; Frank Hoffmann; Raj
Название: Advances in Soft Computing
ISBN: 1849969051 ISBN-13(EAN): 9781849969055
Издательство: Springer
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Цена: 25491.00 р.
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Описание: This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing.

Автор: Millie Pant; Kanad Ray; Tarun K. Sharma; Sanyog Ra
Название: Soft Computing: Theories and Applications
ISBN: 9811056986 ISBN-13(EAN): 9789811056987
Издательство: Springer
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Цена: 34150.00 р.
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Описание: It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing.

Автор: Srikanta Patnaik; Xiaolong Li
Название: Proceedings of International Conference on Soft Computing Techniques and Engineering Application
ISBN: 8132216946 ISBN-13(EAN): 9788132216940
Издательство: Springer
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Цена: 30370.00 р.
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Описание: The main objective of ICSCTEA 2013 is to provide a platform for researchers, engineers and academicians from all over the world to present their research results and development activities in soft computing techniques and engineering application.

Автор: Millie Pant; Kanad Ray; Tarun K. Sharma; Sanyog Ra
Название: Soft Computing: Theories and Applications
ISBN: 9811056862 ISBN-13(EAN): 9789811056864
Издательство: Springer
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Цена: 36589.00 р.
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Описание: It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing.

Автор: Lipo Wang
Название: Soft Computing in Communications
ISBN: 3642536239 ISBN-13(EAN): 9783642536236
Издательство: Springer
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Цена: 18294.00 р.
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Описание: Soft computing, as opposed to conventional "hard" computing, tolerates imprecision and uncertainty, in a way very much similar to the human mind. Part 1 of the book has seven chapters, demonstrating some of the capabilities of two major types of neural networks, i.e., multiplayer perceptron (MLP) neural networks and Hopfield-type neural networks.