Study on displacement predication of landslide based on grey system and evolutionary neural network

GAO Wei; FENG Xia-ting

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Study on displacement predication of landslide based on grey system and evolutionary neural network

更新时间：2026-06-25

- Study on displacement predication of landslide based on grey system and evolutionary neural network
- Vol. 25, Issue 4期　刊出日, (2004)
- 作者机构：
  
  1. 武汉工业学院土木工程系,湖北,武汉,430023
  2. 中国科学院武汉岩土力学研究所岩土力学重点实验室,湖北,武汉,430071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TB115;P642.22
- Online First：17 July 2014，
  
  Published：2004
- 稿件说明：
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GAO Wei, FENG Xia-ting. Study on displacement predication of landslide based on grey system and evolutionary neural network[J]. 2004, 25(4期　刊出日).
DOI：

GAO Wei, FENG Xia-ting. Study on displacement predication of landslide based on grey system and evolutionary neural network[J]. 2004, 25(4期　刊出日). DOI：

摘要

滑坡变形位移预测对滑坡灾害治理具有重要的意义。考虑到滑坡位移单调增长的特殊性，根据位移分解原理，采用灰色系统提取位移趋势，用基于免疫进化规划的新型进化神经网络模型逼近位移偏差，从而提出了1种滑坡位移预测的新型智能方法。并用新滩滑坡的实测位移预测研究证明了所提智能预测方法的有效性及可行性

Abstract

Displacement predication of landslide is very important in control of landslide disaster. Considering the monotonously increasing character of the displacement time series of the landslide

a new intelligent prediction method combining grey system and evolutionary neural network (ENN) is proposed. In this method

based on the principles of displacement decomposition

the trend of displacement time series is extracted by grey system and the deviation of grey system is approximated by the ENN whose architecture and algorithm parameters evolve simultaneously through combining modified BP algorithm and immunized evolutionary programming proposed by first author. This new method is applied to Xintan landslide; and the results show that the generalization of the new method is good and it can predict the displacement of landslide very well.

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