Application of Neural Networks in the Earth System Sciences, Krasnopolsky Vladimir

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: 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: Ben Yuhas; Nirwan Ansari
Название: Neural Networks in Telecommunications
ISBN: 0792394178 ISBN-13(EAN): 9780792394174
Издательство: Springer
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Описание: This text aims to provide an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media.

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: 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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Цена: 11878.00 р.
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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: Vassilios Petridis; Athanasios Kehagias
Название: Predictive Modular Neural Networks
ISBN: 0792382900 ISBN-13(EAN): 9780792382904
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This text presents a unified methodology for designing modular neural networks. A family of online algorithms for time series classification, prediction and identification are developed; and a rigorous mathematical analysis of their properties is provided.

Автор: Leon Chua; Glenn Gulak; Edmund Pierzchala; ?ngel R
Название: Cellular Neural Networks and Analog VLSI
ISBN: 0792381254 ISBN-13(EAN): 9780792381259
Издательство: Springer
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Описание: Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area. Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Автор: Xiang-Sun Zhang
Название: Neural Networks in Optimization
ISBN: 0792365151 ISBN-13(EAN): 9780792365150
Издательство: Springer
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Описание: Consisting of three parts, this book introduces concepts and algorithms in optimization theory, which have been used in neural network research. It covers main neural network models and their theoretical analysis. It also introduces various neural network models for solving nonlinear programming problems and combinatorial optimization problems.

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: Eytan Domany; J. Leo van Hemmen; Klaus Schulten
Название: Models of Neural Networks
ISBN: 0387943625 ISBN-13(EAN): 9780387943626
Издательство: Springer
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Описание: Provides an in-depth analysis of both paradigms starting with an introduction to the ideas used in the subsequent chapters. In this book, one finds a discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory computations in the visual and olfactory cortex.