人民长江2017，Vol.48Issue(6)：47-51,5.DOI:10.16232/j.cnki.1001-4179.2017.06.011
基于多重约束优化的滑坡变形组合预测研究
Study on combination forecast of landslide deformation based on multiple constrained optimization
拉换才让 1栗燊 2陈强 1杜文学2
作者信息
- 1. 青海省水文地质及地热地质重点实验室,青海 西宁 810008
- 2. 青海省水文地质工程地质环境地质调查院,青海 西宁 810008
- 折叠
摘要
Abstract
In order to realize the high precision forecast of landslide deformation and achieve the purpose of landslide stability evaluation,we applies the BP neural network,support vector machine and GM(1,1)model to the traditional single forecast of landslide deformation.To enhance the precision of the single forecast,the genetic algorithm,particle swarm algorithm and semi-parametric method were used to optimize the single forecast models.Based on multiple combination indexes,the comprehensive combined weights were determined through build-up method and tired multiplication to optimize combination forecast of landslide deformation.The results show that the precision and stability of the combination forecast results are higher than the single forecast.In the process of determining the comprehensive combined weights,tired multiplication is superior to build-up method.The average value and standard derivation of relative error of the optimal combination forecast results are 0.81％and 0.62 respectively,which proves that the forecast precision is high and stable and that the forecast method proposed in the paper is applicable and effective to landslide deformation forecast.关键词
BP神经网络/GM(1,1)/支持向量机/组合预测/滑坡Key words
BP neural network/GM (1/1)/support vector machine/combination forecast/landslide分类
天文与地球科学引用本文复制引用
拉换才让,栗燊,陈强,杜文学..基于多重约束优化的滑坡变形组合预测研究[J].人民长江,2017,48(6):47-51,5.
