DocumentCode :
296143
Title :
Using genetic algorithms with grammar encoding to generate neural networks
Author :
Vonk, E. ; Jain, L.C. ; Johnson, R.
Author_Institution :
Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands
Volume :
4
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
1928
Abstract :
Kitano´s approach to neural network design is extended in the sense that not just the neural network structure, but also the values of the weights are coded in the chromosome. Experimental results are presented demonstrating the capability of the technique in the solution of a standard test problem
Keywords :
backpropagation; encoding; feedforward neural nets; genetic algorithms; grammars; Kitano´s method; backpropagation; chromosome; feedforward neural networks; genetic algorithms; grammar encoding; matrix grammar; weights; Australia; Biological cells; Control systems; Encoding; Genetic algorithms; Knowledge engineering; Neural networks; Systems engineering and theory; Testing; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.488965
Filename :
488965
Link To Document :
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