DocumentCode :
3251175
Title :
Genetic breeding of control parameters for the Hopfield/Tank neural net
Author :
Lai, W.K. ; Coghill, G.G.
Author_Institution :
Dept. of Electron. & Electr. Eng., Auckland Univ., New Zealand
Volume :
4
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
618
Abstract :
The authors show how genetic algorithms may be used in conjunction with the Hopfield/Tank neural net by breeding an effective set of control parameters in the parameter sub-space to be used by the artificial neural network. They briefly consider the standard Hopfield/Tank neural net followed by a discussion of the genetic algorithm used with this network. Some of the more important operators used with the genetic algorithm are discussed, and the use of this hybrid neural net on two sets of traveling salesman problems of different sizes is illustrated
Keywords :
Hopfield neural nets; genetic algorithms; Hopfield/Tank neural net; breeding; control parameters; genetic algorithms; Adaptive systems; Artificial neural networks; Cities and towns; Feedforward neural networks; Genetic algorithms; Hopfield neural networks; Multi-layer neural network; Neural networks; Neurons; Traveling salesman problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.227250
Filename :
227250
Link To Document :
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