Phase Space Reconstruction and Artificial Neural Networks Coupled Model in Mid-Long Term Flow Forecasting

The phase space reconstruction and artificial neural networks (ANN) coupled model is developed for flow forecasting in consideration of chaotic property and nonlinearity of flow series. 50 years of monthly flow data from 1950 to 1999 in Yichang hydrologic station is used for parameter calibration, a...

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Bibliographische Detailangaben
Hauptverfasser: Zhong Ping'an, Xu Bin, Yu Lihua
Format: Tagungsbericht
Sprache:eng
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