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- W2368422065 abstract "The faults overlap circumstances in analog fault diagnosis are analyzed.In order to solve the problems of high difficulty of neural network training and low accuracy of fault diagnosis under above circumstances,a fault re-classification method based on neural network fault diagnosis in analog circuit is proposed and the mathematics model of the method is given.The fault diagnosis example shows that the difficulty of neural network training is diminished and the fault diagnosis accuracy can reach more then 99% when faults overlaps exist." @default.
- W2368422065 created "2016-06-24" @default.
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- W2368422065 date "2006-01-01" @default.
- W2368422065 modified "2023-09-24" @default.
- W2368422065 title "Study on the Fault Re-Classification Method in Analog Circuit Fault Diagnosis" @default.
- W2368422065 hasPublicationYear "2006" @default.
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