Title :
WANN Model for Monthly Runoff Forecast
Author :
Guo, Huifang ; Dong, Zengchuan ; Chen, Xin ; Ma, Xixia ; Zhang, Peiyan
Author_Institution :
State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing
Abstract :
Wavelet analysis has good time-frequency analysis ability. Artificial neural network has powerful nonlinear approximation ability. This paper combines their abilities, and establishes WANN model. It uses this model to forecast monthly runoff, the result shows that this model can get a good result in simulating and predicting monthly runoff.
Keywords :
approximation theory; geophysics computing; neural nets; rivers; time-frequency analysis; wavelet transforms; WANN model; artificial neural network; monthly runoff forecast; nonlinear approximation ability; time-frequency analysis; wavelet analysis; Artificial neural networks; Continuous wavelet transforms; Educational institutions; Frequency domain analysis; Information analysis; Power engineering and energy; Predictive models; Time frequency analysis; Wavelet analysis; Wavelet transforms; ANN; WANN; runoff forecast; wavelet analysis;
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
DOI :
10.1109/KAMW.2008.4810682
