BP神经网络方法在大坝基岩变形监测中的应用  

Application on BP neural network in monitoring of dam deformation of the foundation

作　　者：郝小红[1] 袁金龙[1] 黄静 

机构地区：[1]华北水利水电学院 [2]潍坊市水利局

出　　处：《山西建筑》2012年第6期239-240,共2页Shanxi Architecture

摘　　要：结合工程实例,利用上游水位,下游水位和气温建立BP神经网络预报模型,应用Matlab神经网络工具箱,采用traingdx算法进行模型训练,对大坝基岩变形进行预测,结果表明,建立的BP神经网络预测大坝基岩变形的模拟值具有较高的精度。Combined with the engineering example,based on the upstream and downstream water level and temperature,a BP neural network for dam deformation of the foundation forecast model is established.Based on Matlab toolbox,using neural network traingdx algorithm for training model,dam deformation of the foundation are predicted.The results indicate that the model of BP neural network to predict dam deformation of the foundation of the simulation value has higher precision.

关 键 词：MATLAB工具箱 BP神经网络 安全监测 预测 

分 类 号：TV642.45[水利工程—水利水电工程]