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Duan Yuqian. He Jiali(Tianjin University, Tianjin 300072, China)  
For avoiding the shortcom ings existing in BPalgorithm , such as being slow in training speed, convergence to the localm inim um , and weakness in globalsearch, a new hybrid algorithm based on m odified adaptive genetic algorithm for BP netw ork is presented. Then the hybrid algorithm is applied to neuralnetw ork based distance protection. The training and testing results by ATPsim ulation show thatthe hybrid algorithm can notonly avoid convergence to the localm inim um , but also im prove the training speed for the neuralnetw ork, as com pared with the sim ple BPalgorithm . At the sam e tim e, it satisfies the dem ands ofspeed and accuracy fordistance protection. This projectissupported by Fund ofNationalEducation Com m ittee ofChina (DO96001).
【Fund】: 国家教委博士点基金!资助项目(DO96001)
【CateGory Index】: TM773
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