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- W2896565922 abstract "From the view of information fusion, the SOM-BP network model based on the principal of self-organization network(SOM) and back pressure network(BP) was established. The faults and relative parameters of UCI for Mechanical analysis were used for the training samples of the model. Under the Matlab environment, through the simulation test and comparis on with BP network, correctness and accuracy of the composite neural network for blower fan failure diagnosis are verified." @default.
- W2896565922 created "2018-10-26" @default.
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- W2896565922 date "2018-07-01" @default.
- W2896565922 modified "2023-09-25" @default.
- W2896565922 title "Application Study on SOM-BP Neural Network for Blower Fan Fault Diagnosis" @default.
- W2896565922 cites W2389260323 @default.
- W2896565922 doi "https://doi.org/10.23919/chicc.2018.8483061" @default.
- W2896565922 hasPublicationYear "2018" @default.
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