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
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;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.267