Neural Systems: Analysis and Modeling, Frank H. Eeckman

Автор: Frank H. Eeckman
Название: Analysis and Modeling of Neural Systems
ISBN: 0792392175 ISBN-13(EAN): 9780792392170
Издательство: Springer
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Цена: 172320.00 T
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Автор: Robert Kozma; Walter J. Freeman
Название: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
ISBN: 3319244043 ISBN-13(EAN): 9783319244044
Издательство: Springer
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Цена: 121890.00 T
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Описание: This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine.

Автор: Edward J. Rzempoluck
Название: Neural Network Data Analysis Using Simulnet™
ISBN: 0387982558 ISBN-13(EAN): 9780387982557
Издательство: Springer
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Цена: 88500.00 T
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Описание: Presents an introduction to the analysis of data using neural networks. This book discusses neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps.

Автор: Frank H. Eeckman; James M. Bower
Название: Computation and Neural Systems
ISBN: 079239349X ISBN-13(EAN): 9780792393498
Издательство: Springer
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Цена: 287890.00 T
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Описание: Computational neuroscience is best defined by its focus on understanding the nervous system as a computational device. The majority of papers in this book describe analysis and modelling efforts, while others describe the results of biological experiments, in the context of computational issues.

Автор: Shigeo Abe
Название: Neural Networks and Fuzzy Systems
ISBN: 1461378699 ISBN-13(EAN): 9781461378693
Издательство: Springer
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Цена: 93160.00 T
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Описание: Neural Networks and Fuzzy Systems: Theory and Applications discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems.

Автор: George A. Anastassiou
Название: Intelligent Systems II: Complete Approximation by Neural Network Operators
ISBN: 3319205048 ISBN-13(EAN): 9783319205045
Издательство: Springer
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Цена: 174150.00 T
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Описание: This monograph is the continuation and completion of the monograph, "Intelligent Systems: Approximation by Artificial Neural Networks" written by the same author and published 2011 by Springer.The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks.

Автор: Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-
Название: Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
ISBN: 9811049068 ISBN-13(EAN): 9789811049064
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.

Автор: Zenon Waszczysznk
Название: Neural Networks in the Analysis and Design of Structures
ISBN: 3211833226 ISBN-13(EAN): 9783211833223
Издательство: Springer
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Цена: 81050.00 T
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Описание: Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing).