Research on Prediction Model of Subway Foundation Pit Settlement Based on Wavelet Analysis
In order to improve the accuracy of subway foundation pit settlement prediction and accurately grasp the settlement deforma-tion trend of subway foundation pit,this paper introduces wavelet analysis and genetic algorithm(GA)based on support vector ma-chine(SVM)model,and puts forward a GASVM prediction model based on wavelet analysis.Firstly,the original observation data are de-noised by using the good de-noising performance of wavelet analysis;Secondly,the SVM model optimized by genetic algorithm is used to model and predict the denoised data.Taking the settlement monitoring data of a subway as an example,the results show that when wavelet analysis is used for de-noising,the de-noising effect is the best when the number of decomposition layers is 1,Sym4 wavelet basis function,threshold criterion is rigrsure and scale=sln.At the same time,compared with single SVM model and SVM model based on wavelet analysis,the prediction accuracy of GASVM model based on wavelet analysis proposed in this paper is higher,and the prediction accuracy will not decrease significantly with the increase of prediction periods,so it has high practical application value.
support vector machinegenetic algorithmwavelet analysissettlement predictionsubway foundation pit
NETL
NSTL
万方数据
