摘要
利用BP神经网络模型较强的非线性处理能力特性,以水位、温度和时效作为输入层,大坝位移为输出层,建立BP神经网络模型对龙滩大坝的位移监测数据进行模拟和预测,并将拟合值、预报值和实测值进行对比分析,结果表明:BP神经网络模型对大坝位移拟合效果较好,预报值精度较高,具有一定的参考应用价值。
BP neural network model has strong nonlinear processing capacity. In this paper, taking water level, temper- ature and aging as the input layer, and the dam displacement as the output layer, a BP neural network model is developed for simulating and forecasting the displacement monitoring data of Longtan dam. A comparative analysis is made on the fitted values, forecasting values and the measured values. The results show that the model has good effect on simulating dam displacement and has high precision in forecasting, which can be well referenced by similar projects.
出处
《红水河》
2015年第3期87-89,共3页
Hongshui River
关键词
BP神经网络
大坝
位移监测
BP neural network
dam
displacement monitoring
