DocumentCode
3266301
Title
Forecast of Poyang Lake´s Water Level by Wavelet-ANFIS Model
Author
Zhang, Rijun ; Dong, Zengchuan ; Guo, Huifang
Author_Institution
State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
Volume
1
fYear
2009
fDate
6-7 June 2009
Firstpage
393
Lastpage
395
Abstract
Poyang Lake is China´s largest freshwater lake. It has good regulation role to Yangtze River. After the running of Three Georges Project, it influences the water level of Poyang Lake a lot. This paper predicts Poyang Lakepsilas water level, it is the basic of influence research. Once there were many predicting methods, such as ANN, etc. But these methods are not very precisely. This paper uses wavelet analysis to decompose water level series, then it uses ANFIS to modeling the decomposed series, in the end it combined these series. The result shows that, the prediction accuracy rises a lot, and it is fit to used in water level predict.
Keywords
fuzzy neural nets; geophysics computing; lakes; water; China; Poyang Lake; Yangtze River; artificial fuzzy neural network; freshwater lake; water level; wavelet analysis; wavelet-ANFIS model; Frequency; Fuzzy neural networks; Fuzzy systems; Lakes; Predictive models; Rivers; Water conservation; Water resources; Wavelet analysis; Wavelet domain; ANFIS; Poyang Lake; Water level; Wavelet-ANFIS; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.267
Filename
5231110
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