BP模型在黄河口水沙通量预测中的应用

Jun Yan, Yanfang Liu, Jun Wang, Hui Cao, Haibin Zhao
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引用次数: 2

摘要

首先介绍了神经网络的基本原理及其应用。分析了洪水期和非洪水期黄河口水沙通量问题中影响径流和输沙量的主要因素。在MATLAB环境下,利用神经网络工具箱中的程序建立BP模型。最后对临津断面径流量和输沙量进行了预测,并对预测误差进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BP Model Applied to Forecast the Water and Sediment Fluxes in the Yellow River Mouth
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.
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