DocumentCode
532690
Title
Notice of Retraction
Research on stable model foundation methods of pulp washing process
Author
Xiaoming Yu ; Yuan Zeng
Author_Institution
Coll. of Electr. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an, China
Volume
14
fYear
2010
fDate
22-24 Oct. 2010
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.
Finite steady state data was gathered from filed, steady-state model of pulp washing optimum process was founded by support vector machine(SVM). Simulation result showed that this model could be got in short time, worked with small error, and was strong enough in includes ability, adaptability. So this steady state model foundation method could be worth popularizing during pulp optimum control.
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.
Finite steady state data was gathered from filed, steady-state model of pulp washing optimum process was founded by support vector machine(SVM). Simulation result showed that this model could be got in short time, worked with small error, and was strong enough in includes ability, adaptability. So this steady state model foundation method could be worth popularizing during pulp optimum control.
Keywords
least squares approximations; optimal control; paper making; production engineering computing; support vector machines; least square support vector machine; pulp optimum control; pulp washing process; stable model foundation method; Analytical models; pulp washing; steady state model; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5622175
Filename
5622175
Link To Document