gusucode.com > 基于改进BP神经网络的大坝变形监测模型预报 > 基于改进BP神经网络的大坝变形监测模型预报\文件说明.txt

     变形监测是大坝安全运行的重要保证,结合白石水库混凝土坝真空激光X向位移资料进行分析,提出应用改进的BP神经网络思想建立的安全监测模型,结合对相关数据参数进行系统性的研究,并与传统BP神经网络模型训练、预测结果对比,得出改进的BP神经网格模型优于传统BP神经网络模型,具有一定抗差能力,能够降权使用可疑值,相关系数较高,预测精度好,可在实际中广泛运用。Deformation monitoring is an important guarantee for the safe operation of the dam. Based on the analysis of the vacuum laser X-displacement data of the concrete dam of Baishi Reservoir, a safety monitoring model based on the improved BP neural network is proposed, and the relevant data parameters are systematically studied. And compared with the traditional BP neural network model training and prediction results, it is concluded that the improved BP neural network model is superior to the traditional BP neural network model, which has the ability of reducing the risk, can use the suspicious value, the correlation coefficient is high, the prediction accuracy Well, can be widely used in practice.