Research of hierarchical information fusion model based on genetic algorithm with artificial neural network
Ning Bo Zhao · Jisuanji gongcheng yu sheji · 2010
Aimed at the problem of slow speed convergence and local minima of BP neural network,the hierarchical information fusion model based on genetic algorithm with artificial neural network is proposed.Firstly a new neural network is optimized by genetic algorithm,then the optimezed neural network is used to fusion information from sensors and the model is stimulated by Matalab 7.0 in fault diagnosis feild.Compared with the traditonal single neural network information fusion model,the results of experiment show that the model can effectively improve the efficiency and accuracy of information fusion.