【作者】 严军； 叶春生； 曹辉； 李虎成；

【Author】 YAN Jun~1,YE Chun-sheng~2,CAO Hui~3,LI Hu-cheng~4 (1.North China University of Water Conservancy and Electric Power,Zhengzhou,China,450011,Email: 2.Zhengzhou University,Zhengzhou,Henan,China,450001 3.Henan Waterway Bureau of Transport Administration,Zhengzhou,Henan,China,450052 4.The Institute of Water Conservancy and Hydropower of G uangdong,Guangzhou,Guangdong,China,510610)

【机构】 华北水利水电学院； 郑州大学； 河南省交通厅航务局； 广东省水利水电科学研究院；

【摘要】 介绍了神经网络的研究现状、基本理论和应用领域,分析了汛期和非汛期黄河口水沙通量问题中影响径流量和输沙量的主要因素,并利用MATLAB环境下的神经网络工具箱开发相应的程序,建立BP网络模型,对利津断面汛期和非汛期径流量和输沙量进行预测,分析了BP网络模型的预测结果。分析表明:BP网络模型拟合精度较高,预测效果较好,在河口水沙通量预报方面具有良好的适用性。更多还原

【Abstract】 The fundamental of neural network and its application are introduced firstly.Then the main factors which affect the runoff and the sediment transport volume in the problems of the water and sediment fluxes in the Yellow River Mouth during the flood and non-flood period are analyzed. Furthermore,the BP model is set up by using the program in the toolbox of the neural network under the environment of MATLAB.Finally the runoff and the sediment transport volume in Linjin section are forecasted and the forecasting errors are analyzed.更多还原