Advanced Models of Neural Networks

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106,99 

Nonlinear Dynamics and Stochasticity in Biological Neurons

ISBN: 3662515571
ISBN 13: 9783662515570
Autor: Rigatos, Gerasimos G
Verlag: Springer Verlag GmbH
Umfang: xxiii, 275 S., 44 s/w Illustr., 91 farbige Illustr., 275 p. 135 illus., 91 illus. in color.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 9730760 Kategorie:

Beschreibung

Autorenporträt

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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