Analysis of the channel cubage of the North Branch of the Yangtze River Estuary with BP neural network
基于BP 神经网络的长江口北支河槽容积分析

Based on the hydrology and sediment data, an artificial neural network model was established to study the relationship among the channel cubage under the 0 m-isobath in North Branch, the flow and sediment discharge at Datong gauging station and the flow split ratio of the North Branch. The structure of the network model was fixed on 3-1-7-1. The network model was trained and tested by choosing appropriate parameters. The computation results of BP artificial neural network agree well with that of multiple linear regressions. It can be concluded that BP artificial neural network may be used to predict the hydrological factors such as sediment discharge in estuary.