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BP神经网络在吴淞口潮位短期预报中的应用

Application of BP neural network in tidal level short-term forecast of Wusong estuary
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摘要 结合潮汐数据的规律性,利用人工神经网络建立吴淞口逐时潮位之间的非线性关系,从而对吴淞口潮位进行短期预报。实例证明,非风暴潮期间,这种方法的预报精度符合水文情报预报标准,6h以内的预报精度较高。 Combining with the regularity of tide data,the paper sets up non-linear relation among the hourly tidal levels of Wusong estuary,does short-term forecast of tidal level using BP neural network.The result shows the accuracy of forecast could meet the standard for hydrological information and hydrological forecasting during non-storm surge period,especially the accuracy of forecast within 6 hours is high.
出处 《东北水利水电》 2009年第2期22-23,30,共3页 Water Resources & Hydropower of Northeast China
关键词 神经网络 吴淞口 潮位 短期预报 neural network Wusong estuary tidal level short-term forecast
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