Journal of Guangdong University of Technology ›› 2006, Vol. 23 ›› Issue (4): 64-69.

• Comprehensive Studies • Previous Articles     Next Articles

Optimization of Topological Structure and Weight Value of Artificial Neural Network Using Genetic Algorithm

  

  1. (1.Economics Research Center,Northwestern Polytechnical University,Xi’an 710072,China;2.Qing-he Building D8,Beijing 100085,China)
  • Online:2006-11-10 Published:2006-11-10

Abstract: In crder to make use of the respective advantages of Genetic Algorithm(GA)and BP neural network,integrated algorithm,BP-GA algorithm and GA-BP algorithm are brought for ward.Genetic algorithm is used to optimize the topological structure,the weight values and the biases of BP neural network.Furthermore,a set of advanced coding technique and evolution tactic are studied and realized to overcome the blindness resulted from experiences and tries of traditional BP network.The simulation results of instances show that optimised metwork is of better fitting capability and of more reasonable method than traditional BP network.

Key words: genetic algorithm; artificial neural network; topological structure; weight value;

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