FOUNDATION PIT DEFORMATION MONITORING DATA ANALYSIS BASED ON OPTIMIZED SVM ALGORITHM
Taking a hydropower project foundation pit as an example,this paper discusses the main contents of foundation pit safety monitoring,and gives 30 days'monitoring data of vertical and horizontal displacement of 26 monitoring points of foundation pit supporting structure,and vertical displacement of 64 road surface points.Based on the support vector machine(SVM)algorithm,the artificial fish swarm algorithm is used for global parameter optimization,and the optimized SVM algorithm for data prediction is established.The results show that the accuracy improvement rate of the three types of monitoring data is 36.7％,37.8％,and 42.2％,respectively.
foundation pitdeformation monitoringSVM algorithmdisplacement
万方数据
维普
