基于人工神经网络的大坝位移预测

 大坝安全监控中，坝体位移预测以往用回归方法，很难描述位移与诸多影响位移的物理量间的复杂关系。采用人工神经网络方法，对大坝位移进行预测。实例表明，此法比较适用，结果良好。

Forecasting of Dam Displacement Based on Artificial Neural Network

In safety monitoring, a regression method is usually adopted to forecast the displacement of a dam, but it is difficult to describe the complicated correlation of displacements with their affecting factors. In the paper, a new method based on artificial neural network is used. Through an engineering illustration, it is shown that the method is not only functional in use but also good in results.