首页 | 本学科首页   官方微博 | 高级检索  
     

忠武输气管道沿线滑坡预测方法研究
引用本文:王小攀,张军,丁慧君.忠武输气管道沿线滑坡预测方法研究[J].城市勘测,2011(2):158-160.
作者姓名:王小攀  张军  丁慧君
作者单位:1. 中国地质大学信息工程学院,湖北武汉,430074
2. 内蒙古测绘院,内蒙古呼和浩特,010010
摘    要:基于忠武管道沿线滑坡不具有成面、成片分布的特点及其管道沿线滑坡监测方案,系统地分析了忠武输气管道沿线滑坡预测过程,根据灰色GM(1,1)模型具有对数据量需求少、对时间有关的序列有很好的预测效果等优点,重点研究了灰色GM(1,1)模型及其改进模型,并对各种改进的灰色模型预测结果进行比较分析;同时顾及BP神经网络的各种优点...

关 键 词:滑坡预测  GM(1  1)及改进模型  BP神经网络  组合预测模型  改进的串联灰色神经网络模型

The Study of Zhong-Wu Gas Pipeline Landslide Prediction
Wang XiaoPan,Zhang Jun,Ding HuiJun.The Study of Zhong-Wu Gas Pipeline Landslide Prediction[J].Urban Geotechnical Investigation & Surveying,2011(2):158-160.
Authors:Wang XiaoPan  Zhang Jun  Ding HuiJun
Affiliation:1.China University of Geosciences School of Information Engineering,Wuhan 430074,China; 2.Inner Mongolia Institute of Surveying and Mapping,Inner Mongolia,Hohhot 010010,China)
Abstract:Based on landslides along the Zhong-Wu gas pipeline have not the characteristics of the distribution into a surface and a pieces,and the landslides monitoring cycle of this pipeline.this paper systematically analyzes forecasting process of the landslide along the Zhong-Wu gas pipeline.As GM(1,1) model is less demand on the amount of data,with a good predictive advantages of the sequence of time,this paper focuses on the gray GM(1,1) model and its improved model,and a variety of improved gray model for comparative analysis.In view of the BP neural network has many kinds of advantages.This paper has thoroughly studied the combination of gray neural network model,and based on the combination forecasting model,putting forward an improved gray neural network model series and probe the model through an example.
Keywords:Landslide Prediction  GM(1  1) and improved model  BP neural network  Combination forecasting model  Improved gray neural network model series
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《城市勘测》浏览原始摘要信息
点击此处可从《城市勘测》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号