Abstract:This study is concerned with the difficulty of parameter selection in the LSSVM model and the selection of parameters for high dimensional reconstruction of single variable sequences. To this end, we introduce the phase space reconstruction theory, and fruit fly algorithm into the LSSVM model. The deformation prediction model of phase space reconstruction based on FOA-GLSSVM is established. In order to validate the effectiveness and reliability of the proposed model, we compare practical examples and the GLSSVM model, least square support vector machine model and support vector machine model. The experimental results show that the proposed model is more accurate and stable.
XIE Yangyang,WU Dapeng,FU Chao et al. Research on Deformation Prediction Model of FOA-GLSSVM Deep Foundation Pit Based on Phase Space Reconstruction[J]. jgg, 2018, 38(10): 1048-1052.