MATLAB神经网络工具箱在感潮河段断面平均流速计算中的应用

长江下游感潮河段可通过在线测流系统中ADCP实时指标流速监测值推求断面平均流速。为进一步提高模型精度，本文以南京水文实验站2014年5月~2016年12月9次全潮测量为例，在MATLAB中建立相应的神经网络模型并进行求解。结果表明采用该方法不仅实现手段较为直观、便捷，而且拟合精度较原有的多元线性回归模型更高。

Application of MATLAB neural network toolbox in calculating mean velocity at a cross-section in tidal reach

For the tidal river section in the lower reaches of the Yangtze River, the mean velocity at a cross-section can be estimated through the real-time index velocity of ADCP in the online flow measurement system. In order to further improve the accuracy of the model, taking the full tide measurement of the Nanjing Hydrological Experimental Station for nine times from May 2014 to December 2016 as an example, the paper established a corresponding neural network model and solve it in MATLAB. The results show that the method is not only simple but also convenient. Moreover, the fitting accuracy is higher than that of the original multiple linear regression model.