BP神经网络在不等时距滑坡变形预报中的应用

BP Neural Network Model for Time-distance in the Range of Landslide Deformation Prediction of the Applied Research

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。

The principle and method of landslide grey neural network model are in troduced, Range from me 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.