Title :
Comparison of learning algorithms
Author :
Skorpil, Vladislav ; Stastny, Jiri
Author_Institution :
Dept. of Telecommun., Brno Univ. of Technol., Brno
Abstract :
There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes.
Keywords :
backpropagation; genetic algorithms; neural nets; telecommunication computing; telecommunication control; backpropagation; genetic algorithms; learning algorithms; neural networks; telecommunication network nodes; Backpropagation algorithms; Communication system control; Computer networks; Data processing; Genetic algorithms; Learning systems; Neural networks; Neurons; Optimization methods; Switches;
Conference_Titel :
Communications, 2008 24th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-1945-6
Electronic_ISBN :
978-1-4244-1946-3
DOI :
10.1109/BSC.2008.4563245
