Neural Nets, Bruno Apolloni; Maria Marinaro; Roberto Tagliaferr
Автор: Bruno Apolloni; Maria Marinaro; Giuseppe Nicosia; Название: Neural Nets ISBN: 3540331832 ISBN-13(EAN): 9783540331834 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Amanda J.C. Sharkey Название: Combining Artificial Neural Nets ISBN: 185233004X ISBN-13(EAN): 9781852330040 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Vera Kurkova; Nigel C. Steele; Roman Neruda; Miros Название: Artificial Neural Nets and Genetic Algorithms ISBN: 3211836519 ISBN-13(EAN): 9783211836514 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Brian D. Ripley Название: Pattern Recognition and Neural Networks ISBN: 0521717701 ISBN-13(EAN): 9780521717700 Издательство: Cambridge Academ Рейтинг: Цена: 7762.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/
Автор: Bruno Apolloni; Simone Bassis; Anna Esposito; Fran Название: Neural Nets and Surroundings ISBN: 3642441327 ISBN-13(EAN): 9783642441325 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Rudolf F. Albrecht; Colin R. Reeves; Nigel C. Stee Название: Artificial Neural Nets and Genetic Algorithms ISBN: 3211824596 ISBN-13(EAN): 9783211824597 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Andrej Dobnikar; Nigel C. Steele; David W. Pearson Название: Artificial Neural Nets and Genetic Algorithms ISBN: 3211833641 ISBN-13(EAN): 9783211833643 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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; Simone Bassis; Anna Esposito; Fran Название: Neural Nets and Surroundings ISBN: 3642354661 ISBN-13(EAN): 9783642354663 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Whittle Peter Название: Neural Nets And Chaotic Carriers (2Nd Edition) ISBN: 1848165900 ISBN-13(EAN): 9781848165908 Издательство: World Scientific Publishing Рейтинг: Цена: 12830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.
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