基于神经网络的大坝参数反演法

Artificial Neural Network Method on Back Analysis of Dam Parameter

基于BP神经网络的基本原理建立了大坝混凝土和基岩模量反演分析模型,提出了模型样本的处理方法,并结合实例分析表明用神经网络方法反演大坝混凝土和基岩平均模量是一种行之有效的方法,反演值与实测值基本吻合。

This paper deals with back analysis of dam coefficient based on the artificial multiplayer feed forward neural network, and provides a learing sample pretreating method based on the suggested model. The result shows the validity and rationality of the model and its sample proceeding method.