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- W2367020105 abstract "An improved algorithm of the genetic neural network was proposed in this paper. In the algorithm,the global property of genetic algo rithms(AG) and the parallelism of artificial neural networks(AN~2) were combined. It is a good way to overcome problems of the local minimum and the slow constringency in the neural network, and then it is suitable to optimize the network. The algorithm is applicable to the diagnosis of the grinding machine fault diagnosis. The experimental results show that the algorithm can raise the accuracy in recognizing the fault model and has the bright future in the application." @default.
- W2367020105 created "2016-06-24" @default.
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- W2367020105 date "2004-01-01" @default.
- W2367020105 modified "2023-09-25" @default.
- W2367020105 title "The application of optimizing the genetic neural network to the machinery fault diagnosis" @default.
- W2367020105 hasPublicationYear "2004" @default.
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