DocumentCode
506754
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
Volume
3
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
1
Lastpage
3
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICICISYS.2009.5358253
Filename
5358253
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