
This volume details more than 40 years of Soviet and Russian neural network research. The systematized methodology of neural networks synthesis is presented in the monograph which is intending for works in different regimes: teaching, self-teaching (clusterization), teaching with a teacher of finite qualification and other regimes. The different methods of multilayer networks synthesis to the different optimization criterions are presented: minimum average risk function, minimum average risk function with different limits to its components. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide in neural networks who have not previously had access to this work.
Author: Alexander I. Galushkin |
Publisher: Springer |
Publication Date: Aug 09, 2007 |
Number of Pages: 396 pages |
Binding: Hardback or Cased Book |
ISBN-10: 3540481249 |
ISBN-13: 9783540481249 |