Advanced Models of Neural Networks

Gerasimos G. Rigatos

ISBN 10: 3662515571 / ISBN 13: 9783662515570

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2016, 2016

About this Item

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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch. Seller Inventory # 9783662515570

Bibliographic Details

Title: Advanced Models of Neural Networks

Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2016

Publication Date: 2016

Binding: Taschenbuch

Condition: Neu

About this title

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.

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.