Neural Networks Theory
Download or Read eBook Neural Networks Theory PDF written by Alexander I. Galushkin and published by Springer Science & Business Media. This book was released on 2007-10-29 with total page 396 pages. Available in PDF, EPUB and Kindle.
| Author | : Alexander I. Galushkin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 396 |
| Release | : 2007-10-29 |
| ISBN-10 | : 9783540481256 |
| ISBN-13 | : 3540481257 |
| Rating | : 4/5 (56 Downloads) |
Book Synopsis Neural Networks Theory by : Alexander I. Galushkin
Book excerpt: This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
