Neural Nets and Surroundings, Bruno Apolloni; Simone Bassis; Anna Esposito; Fran

Автор: Whittle Peter
Название: Neural Nets And Chaotic Carriers (2Nd Edition)
ISBN: 1848165900 ISBN-13(EAN): 9781848165908
Издательство: World Scientific Publishing
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Описание: Develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.

Автор: Bruno Apolloni; Simone Bassis; Anna Esposito; Fran
Название: Neural Nets and Surroundings
ISBN: 3642354661 ISBN-13(EAN): 9783642354663
Издательство: Springer
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Описание: Collecting contributions to the 22nd Italian Workshop on Neural Networks and the yearly meeting of the Italian Society for Neural Networks (SIREN), this book covers the latest research on artificial neural networks and natural intelligence.

Автор: Bruno Apolloni; Maria Marinaro; Giuseppe Nicosia;
Название: Neural Nets
ISBN: 3540331832 ISBN-13(EAN): 9783540331834
Издательство: Springer
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Цена: 10480.00 р.
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Автор: Rudolf F. Albrecht; Colin R. Reeves; Nigel C. Stee
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211824596 ISBN-13(EAN): 9783211824597
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Includes contributions reporting theoretical developments in the design of neural networks and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of oil industrial processes, as well as to credit scoring, are reflected.

Автор: David W. Pearson; Nigel C. Steele; Rudolf F. Albre
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211826920 ISBN-13(EAN): 9783211826928
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Artificial neural networks and genetic algorithms are both areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. This book examines new computation techniques which are applied in diverse fields.

Автор: George D. Smith; Nigel C. Steele; Rudolf F. Albrec
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211830871 ISBN-13(EAN): 9783211830871
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume comprises papers from the International Conference on Artificial Neural Nets and Genetic Algorithms. Topics covered include: robotics and sensors; power systems; evolware; vision; medical applications; GA applications; parallel GAs; and combinatorial optimization.

Автор: Bruno Apolloni; Maria Marinaro; Roberto Tagliaferr
Название: Neural Nets
ISBN: 3540202277 ISBN-13(EAN): 9783540202271
Издательство: Springer
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Цена: 10480.00 р.
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Автор: Vera Kurkova; Nigel C. Steele; Roman Neruda; Miros
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211836519 ISBN-13(EAN): 9783211836514
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net- works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting.

Автор: Amanda J.C. Sharkey
Название: Combining Artificial Neural Nets
ISBN: 185233004X ISBN-13(EAN): 9781852330040
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems.

Автор: Andrej Dobnikar; Nigel C. Steele; David W. Pearson
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211833641 ISBN-13(EAN): 9783211833643
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Includes such chapters as: neural networks; theory and applications - NNs (= neural networks) classifier on continuous data domains; quantum associative memory; a new class of neuron-like discrete filters to image processing; and, modular NNs for improving generalisation properties.