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Forecast on Winter Water Diversion by Artificial Neural Networks in South-to-North Water Diversion Middle Route Project

Author(s): Wang Tao; Yang Kai-Lin; Fu Hui; Guo Yongxin; Guo Xinglei

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Keywords: South-to-North Water Diversion; Middle Route Project; Water diversion in winter; BP Neural Networks; Levenberg-Marquart; Date; Forecast; Negative air temperature

Abstract: As being building South-to-North Water Diversion Middle Route Project, it is difficult for Ice Forecast because there are no the existing meteorological and hydrological data, the artificial neural networks with the merits as the robustness and fault toleration can find satisfied solutions. By analyzing the meteorological and hydrological character, an ANN model based on feed-forward back-propagation and improved by Levenberg-Marquardt algorithm is applied to forecast dates when the air temperature goes below zero degree in South-to-North Water Diversion Middle Route Project. The forecast results in the winter of 2003-2006 are mostly in good agreement with the measured ones.

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Year: 2010

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