基于BP神经网络在坝体水平位移预测中的研究  

The Study on Prediction of Horizontal Displacement of the Dam by BP Neural Network

作　　者：位向飞[1] 程赫明[1] 胡兴国[1] 

机构地区：[1]昆明理工大学建筑工程学院,昆明650093

出　　处：《科学技术与工程》2011年第5期1102-1104,共3页Science Technology and Engineering

摘　　要：利用大型软件MATLAB中BP神经网络对坝体位移进行预测。利用大坝正常运作时的观测数据,训练BP网络,用它对坝体水平位移进行有效预测,可以辅助判断实测值正确与否。这要比运用ANSYS等大型有限元软件对坝体建模计算得出位移值方便,同时根据预测的位移值及其变化情况监测大坝的健康运作与否。BP neural network of the large-scale software MATLAB is used to predict the displacement of the dam. The BP network is trained using the data that is observed in the normal operation of the dam.The values which is measured actually can be determined right or not with the auxiliary jugement of the values got by the effective prediction of the horizontal displacement by the method of BP neutral network.This is more convenient than the method of ANSYS and other large scale finite elementsoftwares. Whether the damis operating under good condition can be monitored by the predicted values and the changing situation can also be monitored.

关 键 词：神经网络 位移 预测 大坝 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TV698.11[自动化与计算机技术—控制科学与工程]