Application of Multi-layer Feed-forward Neural Network in Fault Diagnosis Based on FBP Algorithm

This paper aims at the BP neural network model, to against the problems of the weakness of capability of knowledge acquisition and low stability of learning and memory. The paper put forward a new fast error back propagation algorithm, and give an example to make a comparison between BP algorithm and FBP algorithm on fault diagnosis, The diagnosis results indicate the reliability of this method.

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