基于GA-LMBP网络模型的小浪底大坝3维变形预报分析  

3D Deformation Forecast and Analysis of Xiaolangdi Dam Based on GA-LMBP Network Model

作　　者：王新志[1] 陈伟 

机构地区：[1]南京信息工程大学遥感学院,江苏南京210044 [2]南昌工程学院,江西南昌330029

出　　处：《测绘与空间地理信息》2012年第7期95-97,100,共4页Geomatics & Spatial Information Technology

摘　　要：BP神经网络在大坝监测资料分析处理中有广泛的应用,本文针对改进的BP神经网络:LM-BP网络模型的不足,采用遗传算法加以改进,建立了一种基于遗传算法和LM-BP网络模型的大坝3维变形预报模型GA-LMBP网络模型。将GA-LMBP网络模型应用于小浪底大坝3维变形预报分析中,取得了很好的预报效果,证明了GA-LMBP网络模型是一种行之有效的大坝变形分析预报模型。The BP neural network is widely used in the analysis and processing of the dam monitoring data.Aiming at solving the insufficiencies of the improved BP neural-network-GA-LMBP model,this paper used the genetic algorithm to improve it,and develops the GA-LMBP network model which can be used in the three-dimensional deformation forecast of the dam.The GA-LMBP network model is applied to the 3D deformation forecast and analysis of Xiaolangdi dam and achieves a very good prediction effect,which proves that the GA-LMBP is an effective network model for the forecast and analysis of the dam deformation.

关 键 词：GA-LMBP 大坝 3维变形 预报分析 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]