摘要
如何正确地预报大坝安全监测量，对馈控大坝安全运行和辅助决策具有重要的意义。文章提出应用神经网络的BP模型进行大坝安全监测数据的预报，并针对某一混凝土重力坝的水平位移实际测值构建了BP模型，其预报精度较以往统计模型有较大的提高。
It is important to predict the monitoring data of dam safety precisely for the feedback control and decision-making of dam operation. In this paper. a prediction method is presented on the basis of back propagation model of neural network. The principle and the building method of BP model are introduced. An example is given of the horizontal displacement of a gravity dam using BP model. and the prediction is precise than that of the statistical model.
出处
《大坝观测与土工测试》
1999年第6期1-4,共4页
Dam Observation and Geotechnical Tests
