DocumentCode
2324779
Title
A combined neural and genetic learning algorithm
Author
Tsinas, Lampros ; Dachwald, Bemd
Author_Institution
Univ. der Bundeswehr Munchen, Neubiberg, Germany
fYear
1994
fDate
27-29 Jun 1994
Firstpage
770
Abstract
Neural networks and genetic algorithms are well-known representatives of learning procedures. In this paper a hybrid procedure, which combines both concepts, is introduced. Its functionality is presented on a typical pattern recognition problem
Keywords
genetic algorithms; learning (artificial intelligence); neural nets; pattern recognition; genetic algorithms; hybrid procedure; learning algorithm; neural networks; pattern recognition; Backpropagation algorithms; Genetic algorithms; Intelligent robots; Intelligent sensors; Intelligent systems; Mobile robots; Navigation; Neural networks; Optical sensors; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1899-4
Type
conf
DOI
10.1109/ICEC.1994.349968
Filename
349968
Link To Document