Title :
Forcast 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 Lake´s 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 :
forecasting theory; fuzzy neural nets; lakes; wavelet transforms; Poyang lake water level; Three Georges Project; Yangtze River; freshwater lake; water level series; wavelet analysis; wavelet-ANFIS model; Frequency domain analysis; Fuzzy neural networks; Fuzzy systems; Information analysis; Lakes; Rivers; Water conservation; Water resources; Wavelet analysis; Wavelet domain; ANFIS; Poyang Lake; Water level; Wavelet-ANFIS; wavelet analysis;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358253