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- W2379075433 abstract "There is a problem that the training rule and classifying rule is not consistent when the mostly used BP neural network is applied in the transformer fault diagnosis.It causes recognition rate of samples to reduce and network training slow.By extension transform,using a region in the outputting space replaces apoint,then using the extension neural network in the transformer fault diagnosis.The example proves the training speed is extraordinarily improved and the problem of inconsistent training rule and classifying rule is solved." @default.
- W2379075433 created "2016-06-24" @default.
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- W2379075433 date "2009-01-01" @default.
- W2379075433 modified "2023-09-23" @default.
- W2379075433 title "Transformer Fault Diagnosis Based Extension Neural on Networks" @default.
- W2379075433 hasPublicationYear "2009" @default.
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