DocumentCode :
2743461
Title :
Application of Multi-layer Feed-forward Neural Network in Fault Diagnosis Based on FBP Algorithm
Author :
Bin, Zhang ; Jun, Yan ; Wei, Zhang
Author_Institution :
Eng. Inst. of Eng. Crops, PLA Univ.of Sci. & Tech., Nanjing
fYear :
2008
fDate :
6-8 Aug. 2008
Firstpage :
117
Lastpage :
120
Abstract :
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.
Keywords :
backpropagation; fault diagnosis; knowledge acquisition; multilayer perceptrons; BP neural network model; error back propagation algorithm; fault diagnosis; knowledge acquisition; multilayer feedforward neural network; Artificial intelligence; Distributed computing; Fault diagnosis; Feedforward neural networks; Feedforward systems; Machine learning; Multi-layer neural network; Neural networks; Neurons; Software engineering; FBP algorithm; Fault diagnosis; Multi-layer Feed-forward Network; Rotary Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3263-9
Type :
conf
DOI :
10.1109/SNPD.2008.11
Filename :
4617358
Link To Document :
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