Neural Networks in Telecommunications, Ben Yuhas; Nirwan Ansari

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: 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: Anibal R. Figueiras-Vidal
Название: Digital Signal Processing in Telecommunications
ISBN: 3540760377 ISBN-13(EAN): 9783540760375
Издательство: Springer
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Описание: This publication deals with the application of advanced digital signal processing techniques and neural networks to various telecommunication problems. The editor presents the latest research results in areas such as arrays, mobile channels, acoustic echo cancellation, speech coding and adaptive filtering in varying environments.

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: Paolo Arena; Luigi Fortuna; Giovanni Muscato; Mari
Название: Neural Networks in Multidimensional Domains
ISBN: 1852330066 ISBN-13(EAN): 9781852330064
Издательство: Springer
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Описание: In this monograph, new structures of neural networks in multidimensional domains are introduced. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.

Автор: Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Ve
Название: Artificial Neural Networks and Machine Learning – ICANN 2017
ISBN: 3319686119 ISBN-13(EAN): 9783319686110
Издательство: Springer
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Описание: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions.

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.

Автор: Lawrence J. Landau
Название: Concepts for Neural Networks
ISBN: 3540761632 ISBN-13(EAN): 9783540761631
Издательство: Springer
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Описание: Concepts for Neural Networks - A Survey provides a wide-ranging survey of concepts relating to the study of neural networks. It includes chapters explaining the basics of both artificial neural networks and the mathematics of neural networks, as well as chapters covering the more philosophical background to the topic and consciousness.