Research a Novel Optimization Mechanism of Parameters Based on Hybrid NN and GA

  • Authors:

  • Yansong Liu;Rulong Wang;Gang Yi

  • Affiliations:

  • Hunan Traditional Chinese Medical College, Zhuzhou, China 412012;Software School, Hunan University, Changsha, China 410082;Department of Computer, Hunan University of Chinese Medicine, Changsha, China 410080

  • Venue:
  • ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
  • Year:
  • 2009

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Abstract

In this paper, an optimization system is established based on a hybrid neural network and genetic algorithm approach. The application program is compiled in Matlab engineering computing language, which is used in calculating the parameter value predicted by neural network and the result of genetic algorithm optimization .The comparison and error analysis has been carried out between the results predicted by network and CAE simulated results, which shows that the BP network is stable and reliable. The optimized outcome verified by CAE simulation and tested by experiment has been proved to be correct. It has been bean indicated that the injection parameter optimization method based on the hybrid neural network and genetic algorithm approach is feasible.