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Advanced Models of Neural Networks

Nonlinear Dynamics and Stochasticity in Biological Neurons
BookPaperback
Ranking86747inTechnik
CHF142.00

Description

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.
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Details

ISBN/GTIN978-3-662-51557-0
Product TypeBook
BindingPaperback
Publishing date23/08/2016
EditionSoftcover reprint of the original 1st ed. 2015
Pages275 pages
LanguageEnglish
SizeWidth 155 mm, Height 235 mm
Weight4569 g
IllustrationsXXIII, 275 p. 135 illus., 91 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Article no.27695154
CatalogsBuchzentrum
Data source no.20477310
Product groupTechnik
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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.