Title :
A combined neural and genetic learning algorithm
Author :
Tsinas, Lampros ; Dachwald, Bemd
Author_Institution :
Univ. der Bundeswehr Munchen, Neubiberg, Germany
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;
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
DOI :
10.1109/ICEC.1994.349968
