Advanced Models of Neural Networks
Download or Read eBook Advanced Models of Neural Networks PDF written by Gerasimos G. Rigatos and published by Springer. This book was released on 2014-08-27 with total page 296 pages. Available in PDF, EPUB and Kindle.
| Author | : Gerasimos G. Rigatos |
| Publisher | : Springer |
| Total Pages | : 296 |
| Release | : 2014-08-27 |
| ISBN-10 | : 9783662437643 |
| ISBN-13 | : 3662437643 |
| Rating | : 4/5 (43 Downloads) |
Book Synopsis Advanced Models of Neural Networks by : Gerasimos G. Rigatos
Book excerpt: 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.
