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- W2369690352 abstract "Based on the neural networks, the diagnosis problem of linear circuit with element parameter tolerances is addressed in this paper. Specific strategies are proposed for training the back-propagation (BP) neural network to be a fault diagnoser. The experimental results demonstrate that the diagnoser performs better than any classical approaches in terms of accuracy,and provides at least an order-ofmagnitude improvement in the speed of post-fault diagnosis. In addition, it can tolerate its internal hardware damage to a certain extent." @default.
- W2369690352 created "2016-06-24" @default.
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- W2369690352 date "1997-01-01" @default.
- W2369690352 modified "2023-09-25" @default.
- W2369690352 title "LINEAR CIRCUIT FAULT DIAGNOSIS BASED ON BP NETWORKS" @default.
- W2369690352 hasPublicationYear "1997" @default.
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