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Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons - Softcover
Synopsis
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. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory.
It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.
"synopsis" may belong to another edition of this title.
About the Author
Dr. Gerasimos Rigatos received his Ph.D. from the Dept. of Electrical and Computer Engineering of the National Technical University of Athens, Greece. He had a postdoctoral position at IRISA, Rennes, France, he was an invited professor at the Université Paris XI (Institut d'Eléctronique Fondamentale) and a lecturer in the Dept. of Engineering of Harper-Adams University College, UK. He is now a researcher in the Unit of Industrial Automation, Industrial Systems Institute, Patras, Greece. His research interests include computational intelligence, adaptive systems, mechatronics, robotics and control, optimization and fault diagnosis.
From the Back Cover
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. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory.
It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.
"About this title" may belong to another edition of this title.
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Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons [Paperback] Rigatos, Gerasimos G. (eng)
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Advanced Models of Neural Networks : Nonlinear Dynamics and Stochasticity in Biological Neurons
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ISBN 13: 9783662515570
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Advanced Models of Neural Networks
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Springer Berlin Heidelberg Aug 2016, 2016
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ISBN 13: 9783662515570
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory. It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory. 300 pp. Englisch. Seller Inventory # 9783662515570
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