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On-Line Learning in Neural Networks, Saad


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Цена: 18691.00р.
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При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Saad
Название:  On-Line Learning in Neural Networks
ISBN: 9780521652636
Издательство: Cambridge Academ
Классификация:
ISBN-10: 0521652634
Обложка/Формат: Hardback
Страницы: 412
Вес: 2.36 кг.
Дата издания: 28.01.1999
Серия: Publications of the Newton Institute, 17
Язык: English
Иллюстрации: 40 b/w illus.
Размер: 235 x 159 x 31
Читательская аудитория: applied mathematics (stochastic control, mathematical physics), physics (statistical physics), computer science (neural networks), electrical engineering (neural networks)
Основная тема: Computer science
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: On-line learning is one of the most commonly used techniques for training large layered networks. Traditional methods have been recently complemented by ones from statistical physics and Bayesian statistics to provide more insight and deeper understanding of existing algorithms. This book presents a coherent picture of the state-of-the-art.


Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447807 ISBN-13(EAN): 9783319447803
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447777 ISBN-13(EAN): 9783319447773
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Pattern Recognition and Neural Networks

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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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/

A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems

Название: A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
ISBN: 1849968675 ISBN-13(EAN): 9781849968676
Издательство: Springer
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Цена: 23508.00 р.
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Описание: How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Neural Networks for Pattern Recognition

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 13939.00 р.
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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.

Constructive Neural Networks

Автор: Leonardo Franco; Jos? M. Jerez
Название: Constructive Neural Networks
ISBN: 3642261086 ISBN-13(EAN): 9783642261084
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Constructive neural networks and other incremental learning algorithms are discussed in this volume as alternatives to methods for assessing adequate architectures. A valuable overview of the field is presented, in addition to useful applications.

Engineering Applications of Neural Networks

Автор: Dominic Palmer-Brown; Chrisina Draganova; Elias Pi
Название: Engineering Applications of Neural Networks
ISBN: 3642039685 ISBN-13(EAN): 9783642039683
Издательство: Springer
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Цена: 17468.00 р.
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Описание: A cursory glance at the table of contents of EANN 2009 reveals the am- ing range of neural network and related applications. Approximately 20% of submitted - pers will be chosen, the best according to the reviews, to be extended and - viewedagainfor inclusionin a specialissueofthe journalNeural Computing and Applications.


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