Computer Science ›› 2015, Vol. 42 ›› Issue (4): 240-243.doi: 10.11896/j.issn.1002-137X.2015.04.049

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Parameter Optimization and Application of SVM Based on Chaos Gravitational Search Algorithm

GONG An, LV Qian, HU Chang-jun, KANG Zhong-jian and LI Hua-yu   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Chaotic series and the crossover of genetic algorithm were introduced into gravitational search algorithm to overcome its poor local optimization problem.The improved algorithm was used for the SVM parameters optimization.And the simulated experiments show that the SVM model has a higher accuracy.At last the model was applied to the condition monitoring of primary air fan in power plant.And the experimental results indicate that the model is valid.

Key words: Gravitational search algorithm,Chaotic series,Crossover,SVM,Condition monitoring

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