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- W2383003796 abstract "Aiming at the problem that BP neural network algorithm may easily fall into local minimum point and converge slowly,the weight and threshold value of BP neural network are optimized by using genetic algorithm,and the diagnosis performance of BP neural network is improved.Three kinds of working states of a motor are distinguished using the GA-BP network.The results show that the diagnosis performance of GA-BP network is better than that of using individual BP network in both aspects of speed and accuracy of motor fault diagnosis." @default.
- W2383003796 created "2016-06-24" @default.
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- W2383003796 date "2010-01-01" @default.
- W2383003796 modified "2023-09-22" @default.
- W2383003796 title "Application Research on Genetic Algorithm and BP Neural Network in Motor Fault Diagnosis" @default.
- W2383003796 hasPublicationYear "2010" @default.
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