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    Abstract
2012 (Vol. 4, Issue: 20)
Article Information:

Failure Diagnosis of Transmission Based on Improving Neural Network

Mo Lian-Guang and Xie Zheng
Corresponding Author:  Mo Lian-Guang 

Key words:  Automatic transmission, failure diagnosis, fuzzy neural network, , , ,
Vol. 4 , (20): 4093-4097
Submitted Accepted Published
March 15, 2012 April 08, 2012 October 15, 2012
Abstract:

In view of the deficiencies like slow learning pace and local extremes of neural network in failure diagnosis, the method of using fuzzy algorithm to pre-teat the input of neural network by means of fuzziness and the output by anti-fuzziness has been proposed. The thesis will establish a knowledge base for common failure of automatic transmission first, pre-treat failure symptom by fuzziness then and do sample training and system simulation to Matlab software used at last. The result of the system simulation proves that the method has the characteristics like high diagnosis precision, superior self-adaptability, fast convergence and effective diagnosis of uncertain failure of automatic transmission.
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  Cite this Reference:
Mo Lian-Guang and Xie Zheng, 2012. Failure Diagnosis of Transmission Based on Improving Neural Network.  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 4093-4097.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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