Cellular Neural Networks and Visual Computing, Chua

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

Автор: Alexandridis Antonis K.
Название: Wavelet Neural Networks
ISBN: 1118592522 ISBN-13(EAN): 9781118592526
Издательство: Wiley
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Цена: 14248.00 р.
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Описание: Through extensive examples and case studies, Wavelet Neural Networks provides a step-by-step introduction to modeling, training, and forecasting using wavelet 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.

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.

Автор: Luo Fa-Long
Название: Applied Neural Networks for Signal Processing
ISBN: 0521644003 ISBN-13(EAN): 9780521644006
Издательство: Cambridge Academ
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Цена: 9979.00 р.
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Описание: A comprehensive introduction to the use of neural networks in signal processing, covering basic principles and practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications.

Автор: Alex Graves
Название: Supervised Sequence Labelling with Recurrent Neural Networks
ISBN: 3642432182 ISBN-13(EAN): 9783642432187
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book offers a complete framework for classifying and transcribing sequential data with recurrent neural networks. It uses state-of-the-art results in speech and handwriting recognition to show the framework in action.

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.

Автор: Huajin Tang; Kay Chen Tan; Zhang Yi
Название: Neural Networks: Computational Models and Applications
ISBN: 3540692258 ISBN-13(EAN): 9783540692256
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Presents theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence.