Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons - Couverture souple

Rigatos, Gerasimos G.

9783662515570: Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons

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ISBN 10 : 3662515571 ISBN 13 : 9783662515570

Editeur : Springer, 2016

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Suitable for researchers engaged with neural networks and dynamical systems theory

Introduces advanced models of neural networks

Includes several chapters suitable for related postgraduate courses in engineering, computer science, mathematics, physics and biology

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� propos de l?auteur

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 Universit� Paris XI (Institut d'El�ctronique 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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2016
ISBN 10 3662515571
ISBN 13 9783662515570
ReliureBroch�
Langueanglais
Nombre de pages300
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Advanced Models of Neural Networks : Nonlinear Dynamics and Stochasticity in Biological Neurons

Gerasimos G. Rigatos

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662515571 ISBN 13 : 9783662515570

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Advanced Models of Neural Networks

Gerasimos G. Rigatos

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662515571 ISBN 13 : 9783662515570

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Advanced Models of Neural Networks : Nonlinear Dynamics and Stochasticity in Biological Neurons

Gerasimos G. Rigatos

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662515571 ISBN 13 : 9783662515570

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783662515570

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Advanced Models of Neural Networks

Gerasimos G. Rigatos

Edit� par Springer Berlin Heidelberg Aug 2016, 2016

ISBN 10 : 3662515571 ISBN 13 : 9783662515570

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783662515570

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Advanced Models of Neural Networks

Gerasimos G. Rigatos

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2016, 2016

ISBN 10 : 3662515571 ISBN 13 : 9783662515570

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9783662515570

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