WANN Model for Monthly Runoff Forecast

Wuhan(2008)

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摘要
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.
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关键词
wann model,geophysics computing,wavelet analysis,wann,approximation theory,wavelet transforms,rivers,runoff forecast,nonlinear approximation ability,ann,monthly runoff forecast,artificial neural network,neural nets,time-frequency analysis,artificial neural networks,time frequency analysis,predictive models
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