Maximal Horizontal Displacement Prediction Model of Foundation Pit Based on LS-SVM
Lei Yang · Water Resources and Power · 2011
Based on monitoring data of foundation pit,deformation influencing factors of foundation pit is extracted.And then the Least squares support vector machine(LS-SVM) prediction model of foundation pit is built by taking the deformation influencing factors as the model input and taking the maximal horizontal displacement as the model output.Finally,the deformation of new foundation pit is predicted by using LS-SVM model.At the same time,performance of LS-SVM model is compared with BP network.The results show that the proposed model has high precision and strong generalization performance.