基于MATLAB的BP神经网络在砂土液化评价中的应用

Application of BP neural network based on MATLAB to the evaluation of sandy soil seismic liquefaction

本文运用MATLAB的神经网络工具箱(NNT)建立砂土液化BP网络预测模型,并以南京地铁1#线玄武门站—南京站区间隧道砂土液化评价为例,阐述了基于MATLAB的BP网络应用于砂土液化分析的可行性和应用价值。

This paper mainly illustrates the application of Neural Network Toolbox (NNT) based on MATLAB in evaluation of sandy soil seismic liquefaction. By using the tool of graphical user interface (GUI) in the NNT, the feed forward back propagation (BP) network object for forecasting possibility of liquefaction is created. As an example, the liquefaction of a certain area in Nanjing Subway Engineering Project is analyzed here.