Evolutionary Learning Algorithms for Neural Adaptive Control
Download or Read eBook Evolutionary Learning Algorithms for Neural Adaptive Control PDF written by Dimitris C. Dracopoulos and published by Springer. This book was released on 2013-12-21 with total page 214 pages. Available in PDF, EPUB and Kindle.
| Author | : Dimitris C. Dracopoulos |
| Publisher | : Springer |
| Total Pages | : 214 |
| Release | : 2013-12-21 |
| ISBN-10 | : 9781447109037 |
| ISBN-13 | : 1447109031 |
| Rating | : 4/5 (37 Downloads) |
Book Synopsis Evolutionary Learning Algorithms for Neural Adaptive Control by : Dimitris C. Dracopoulos
Book excerpt: Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.
