Models of Neural Networks, Eytan Domany; J. Leo van Hemmen; Klaus Schulten

Автор: Eytan Domany; J. Leo van Hemmen; Klaus Schulten
Название: Models of Neural Networks III
ISBN: 0387943684 ISBN-13(EAN): 9780387943688
Издательство: Springer
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Описание: The introductory chapter, "Global Analysis of Recurrent Neural Net- works," by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding.

Автор: Gerasimos G. Rigatos
Название: Advanced Models of Neural Networks
ISBN: 3662515571 ISBN-13(EAN): 9783662515570
Издательство: Springer
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Описание: This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks.

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

Автор: Michael A. Arbib; Shun-ichi Amari
Название: Dynamic Interactions in Neural Networks: Models and Data
ISBN: 0387968938 ISBN-13(EAN): 9780387968933
Издательство: Springer
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Описание: The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines.

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: Ian F. Croall; John P. Mason
Название: Industrial Applications of Neural Networks
ISBN: 3540558756 ISBN-13(EAN): 9783540558750
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This study is concerned with the application of neural network technology to real industrial problems. It summarizes the findings of a three-year international project, Applications of Neural Networks for Industry in Europe (ANNIE).

Автор: Barbara Hammer
Название: Learning with Recurrent Neural Networks
ISBN: 185233343X ISBN-13(EAN): 9781852333430
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Folding networks, a generalization of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data. Also, the architecture, the training mechanism, and several applications in different areas are explained in this work.

Автор: Okechukwu A. Uwechue; Abhijit S. Pandya
Название: Human Face Recognition Using Third-Order Synthetic Neural Networks
ISBN: 0792399579 ISBN-13(EAN): 9780792399575
Издательство: Springer
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Цена: 21655.00 р.
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Описание: Explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. This book serves as a reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

Автор: H. Malmgren; M. Borga; L. Niklasson
Название: Artificial Neural Networks in Medicine and Biology
ISBN: 1852332891 ISBN-13(EAN): 9781852332891
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This volume comprises a selection of papers focusing specifically on the topics of ANNs in medicine and biology. It covers three main areas: the medical applications of ANNs, such as in diagnosis and outcome prediction, medical image analysis, and medical signal processing.

Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov
Название: Type-2 Fuzzy Neural Networks and Their Applications
ISBN: 3319381598 ISBN-13(EAN): 9783319381596
Издательство: Springer
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Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.

Автор: J.G. Taylor; C.L.T. Mannion
Название: Theory and Applications of Neural Networks
ISBN: 3540196501 ISBN-13(EAN): 9783540196501
Издательство: Springer
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Описание: This volume comprises the papers presented at a special meeting on neural networks in 1990. Among the topics covered are adaptive resonance theory, dynamical systems, realistic neural modelling, pattern recognition using neural networks and a review of hardware for neural network simulations.