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PAN Ren-liang, WANG Xin-wei, MAO Zhi-chang. The Model and Prediction for the Density of Chlorine Ion in the Waters of the Yangtze River Estuary[J]. Journal of East China Normal University (Natural Sciences), 2003, (2): 62-67.
Citation:
PAN Ren-liang, WANG Xin-wei, MAO Zhi-chang. The Model and Prediction for the Density of Chlorine Ion in the Waters of the Yangtze River Estuary[J]. Journal of East China Normal University (Natural Sciences), 2003, (2): 62-67.
PAN Ren-liang, WANG Xin-wei, MAO Zhi-chang. The Model and Prediction for the Density of Chlorine Ion in the Waters of the Yangtze River Estuary[J]. Journal of East China Normal University (Natural Sciences), 2003, (2): 62-67.
Citation:
PAN Ren-liang, WANG Xin-wei, MAO Zhi-chang. The Model and Prediction for the Density of Chlorine Ion in the Waters of the Yangtze River Estuary[J]. Journal of East China Normal University (Natural Sciences), 2003, (2): 62-67.
Department of Mathematics, East China Normal University, Shanghai 200062,China2 Department of Computer, East China Normal University, Shanghai 200062,China3 Institute of Estuarine and Coastal Research, East China Normal University, Shanghai 200062,China
In this paper, the author use modern technology of the artificial neural network to analyse the law of dynamic change of the Chlorine ion in the water of the Yangtze river estuary. With the consider of different controlling water quantity project after the completion of the construction of the reservoir on Three Gorge Upward the Yangtze River, a BP neural network model is used for forecasting the denisity of Chlorine ion in Gaoqiao observation station. The results will be referred to related Shanghai department and water supply corporation for decision-making.
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