DocumentCode :
2669348
Title :
The study of fault diagnosis algorithm based on extension neural network
Author :
Ming, Lu
Author_Institution :
Dept. of Inf. Eng., Jilin Bus. & Technol. Coll., Changchun, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
447
Lastpage :
450
Abstract :
Extension neural network is a new method based on Extenics and neural networks, it is full use of the Extension of qualitative and quantitative description of the advantages, but also consider the parallel structure characteristics, of neural network. This article describes the extension theory and neural network fusion extension neural network structure and introduce ENN algorithm based on genetic algorithm. And verify its feasibility in fault diagnosis.
Keywords :
fault diagnosis; genetic algorithms; learning (artificial intelligence); neural nets; extenics; extension neural network; extension theory; fault diagnosis algorithm; genetic algorithm; learning algorithm; parallel structure characteristics; Artificial neural networks; Biological cells; Correlation; Fault diagnosis; Neurons; Optimization; Training; Extension; Extension neural network; Fault Diagnosis; Genetic Algorithm; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-6927-7
Type :
conf
DOI :
10.1109/ICIFE.2010.5609395
Filename :
5609395
Link To Document :
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