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BP神经网络在不等时距滑坡变形预报中的应用
引用本文:魏玉明,党星海. BP神经网络在不等时距滑坡变形预报中的应用[J]. 科学技术与工程, 2010, 10(12)
作者姓名:魏玉明  党星海
作者单位:兰州理工大学土木工程学院,兰州,730050
摘    要:介绍神经网络模型的建模原理和方法,并采用该模型对实际滑坡不等时距监测数据进行处理和分析。结果表明神经网络模型能够对变形监测不等时距数据做出比较准确的模拟和预报,从而能够为变形监测的不等时距数据处理提供一种较好的方法,可以作为今后同类数据处理的模型。

关 键 词:灰色理论  神经网络模型  不等时距  预测  精度分析  

BP Neural Network Model for Time-distance in the Range of Landslide Deformation Prediction of the Applied Research
WEI Yu-ming,DANG Xing-hai. BP Neural Network Model for Time-distance in the Range of Landslide Deformation Prediction of the Applied Research[J]. Science Technology and Engineering, 2010, 10(12)
Authors:WEI Yu-ming  DANG Xing-hai
Affiliation:School of Civil Engineering/a>;Lanzhou University of Technology/a>;Lanzhou 730050/a>;R.R.China
Abstract:The principle and method of landslide grey neural network model are in troduced. Range from the actual time-distance landslide monitoring data is processed and analyzed by this model, and the result shows that grey neural network could offer a comparatively correct simulation and forecasting of deformation monitoring data in a series situations,so that this model offers new preferable method of deformation monitoring data processing which can meet the demand of application.
Keywords:gray theory neural network model ranging from time-distance forecasting precision analys  
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