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- W2380008669 abstract "Wavelet neural network(WNN)combines the time-frequency location and multiple-scale analysis of wavelet transform and the self-organization and learning ability of the neural network,which is very suitable for fault diagnosis.In this paper,the fault diagnosis method for analog circuit based on WNN is introduced.Wavelet Transform is used to decompose fault signal in levels and acquire signal component in various frequency segment,using the ingredient that could reflect the fault signal character as circuits fault character to input ANN to neural network.With this method,the input number is reduced,the structure is simplified and the training time is reduced.Therefore,the ability to identify fault sort is enhanced." @default.
- W2380008669 created "2016-06-24" @default.
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- W2380008669 date "2009-01-01" @default.
- W2380008669 modified "2023-09-24" @default.
- W2380008669 title "Diagnosis Method for Tolerance Analog Circuit Fault Based on Wavelet Neural Network" @default.
- W2380008669 hasPublicationYear "2009" @default.
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