计算机工程与应用2016，Vol.52Issue(1)：254-259,6.DOI:10.3778/j.issn.1002-8331.1410-0254
基于PSO-LSSVM模型的基坑周边建筑倾斜预测
Forecast of building inclination around foundation pit based on PSO-LSSVM model
摘要
Abstract
Against the complexity of influential factors of building inclination deformation around foundation pit, and the small sample and nonlinear characteristics of monitoring data, a time series forecast method of building inclination around foundation pit based on Least Squares Support Vector Machine(LSSVM) optimized by Particle Swarm Optimization (PSO)is proposed. Firstly, phase space reconstruction is used to reconstruct the differential settlement time series of early working stage of the building around foundation pit, the samples of differential settlement forecast are composed, and then the samples are input to LSSVM to train. Secondly, the parameters of LSSVM are optimized by PSO to obtain the optimal forecasting model, the differential settlement of the later working stage is rolling predicted by this model and plugs the forecast results into formula to calculate the inclination deformation value. Finally, this method has been success-fully applied in the surrounding building inclination forecast of a foundation pit engineering in Kunming, the result is satisfied.关键词
基坑/建筑倾斜/时间序列预测/最小二乘支持向量机/粒子群优化算法Key words
foundation pit/building inclination/time series forecast/Least Squares Support Vector Machine(LSSVM)/Particle Swarm Optimization(PSO)分类
建筑与水利引用本文复制引用
曹净,李文云,赵党书,宋志刚,丁文云..基于PSO-LSSVM模型的基坑周边建筑倾斜预测[J].计算机工程与应用,2016,52(1):254-259,6.基金项目
地区科学基金项目(No.51168021). （No.51168021）
