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- W2384354954 abstract "Now the giant machinery is in a wide range of application..Analyzing and solving their common faults and processing them timely are the key.Through the way to apply Neural Network which has been optimized by Genetic Algorithm to fault diagnosis of giant machinery,Using the global searching ability of genetic algorithm to overcome the defects of slow convergence speed and easily falling into local minimum of BP Neural Network,the weights and threshold of neural network can be optimal.The results show that Neural Network which has been optimized by Genetic Algorithm has the higher stability and the training time is shorten significantly." @default.
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- W2384354954 date "2009-01-01" @default.
- W2384354954 modified "2023-09-23" @default.
- W2384354954 title "Fault diagnosis of large mechanism based on genetic-neural network" @default.
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