DocumentCode
3348578
Title
Notice of Retraction
Forecasting model based on LS-SVM and Markov chain for the water quality of Poyang Lake
Author
Cao Qun ; Liu Bingxiang ; Cheng Xiang
Author_Institution
Sch. of Inf. Eng., JDZ Ceramic Inst., Jingdezhen, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
2070
Lastpage
2073
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.
It is great significance to forecast the water quality of Poyang Lake in the construction of Poyang Lake Ecological Economic Zone. On the condition of limited historical data, for resolving the prediction, puts forward forecasting model based on LS-SVM and Markov chain. First, build Poyang Lake water quality time-series forecasting model by optimized use of LS-SVM. Then, divide system state into five parts by Markov chain in order to improve the prediction accuracy. By analying an example, comparing the predicted values and real measured values, The results show that the model has a certain accuracy and reliability.
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.
It is great significance to forecast the water quality of Poyang Lake in the construction of Poyang Lake Ecological Economic Zone. On the condition of limited historical data, for resolving the prediction, puts forward forecasting model based on LS-SVM and Markov chain. First, build Poyang Lake water quality time-series forecasting model by optimized use of LS-SVM. Then, divide system state into five parts by Markov chain in order to improve the prediction accuracy. By analying an example, comparing the predicted values and real measured values, The results show that the model has a certain accuracy and reliability.
Keywords
Markov processes; forecasting theory; lakes; least squares approximations; support vector machines; time series; water quality; LS-SVM; Markov chain; Poyang Lake water quality time-series forecasting model; Poyang lake ecological economic zone; Kernel; Lakes; Markov processes; Measurement uncertainty; Predictive models; Support vector machines; Water pollution; LS-SVM; Markov chain; Poyang Lake; Water Quality Prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022435
Filename
6022435
Link To Document