DocumentCode
1966594
Title
Notice of Retraction
IVC fault diagnosis based on the improved BP neural network
Author
Bo Qu ; Huijuan Gu
Author_Institution
Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou, China
Volume
2
fYear
2010
fDate
10-11 July 2010
Firstpage
256
Lastpage
258
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The improved BP neural network is researched. It is the first time to present the method of IVC fault diagnosis based on the improved BP neural network.. First, the maulti-faults integral diagnostics model will be used to diagnose and then the single-fault parallel diagnosis model is introduced according to the fault characters of IVC. The result of the research shows that the later method is apparently better than the former with its higher validity.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The improved BP neural network is researched. It is the first time to present the method of IVC fault diagnosis based on the improved BP neural network.. First, the maulti-faults integral diagnostics model will be used to diagnose and then the single-fault parallel diagnosis model is introduced according to the fault characters of IVC. The result of the research shows that the later method is apparently better than the former with its higher validity.
Keywords
backpropagation; fault diagnosis; laboratory techniques; neural nets; BP neural network; IVC fault diagnosis; Neurons; Artificial neural network; BP network; Fault diagnosis; IVC;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565699
Filename
5565699
Link To Document