DocumentCode
2485721
Title
Notice of Retraction
The Application and Modeling of the Levenberg-Marquardt Algorithm
Author
Jian-rong Li
Author_Institution
Coll. of Mechanic-Electron. Eng., Suzhou Vocational Univ., Suzhou, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
3
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.
With the research on Levenberg-Marquardt algorithm to establish a neural network model for predicting the damage of the oil and gas layers, it can protect the layers and provide effective assistance. One predicting software system designed according to this algorithm model which is operated in the Karamay Oilfield, shows the accuracy of the predicted damage can achieve favorable expectation. And it played an outstanding estimate and preparedness protective role during oil production. Spontaneously, the neural network system also played a positive role in forecasting and promoting oil and gas production.
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.
With the research on Levenberg-Marquardt algorithm to establish a neural network model for predicting the damage of the oil and gas layers, it can protect the layers and provide effective assistance. One predicting software system designed according to this algorithm model which is operated in the Karamay Oilfield, shows the accuracy of the predicted damage can achieve favorable expectation. And it played an outstanding estimate and preparedness protective role during oil production. Spontaneously, the neural network system also played a positive role in forecasting and promoting oil and gas production.
Keywords
curve fitting; gradient methods; neural nets; petroleum industry; Karamay oilfield; Levenberg Marquardt algorithm; gas layers damage prediction; gas production; neural network model; oil damage prediction; oil production; predicting software system; Accuracy; Algorithm design and analysis; Application software; Neural networks; Petroleum; Predictive models; Protection; Software algorithms; Software design; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business and Information System Security (EBISS), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5893-6
Type
conf
DOI
10.1109/EBISS.2010.5473632
Filename
5473632
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