The deformation of soil caused by deep foundation excavation construction in complex environment is a typical nonlinear problem.The high nonlinearity and complexity of its evolution are difficult to fully reflect the deformation characteristics of foundation excavation by classical mathematical analysis.The particle swarm optimization(PSO)algorithm and the radial basis function(RBF)neural network are combined to propose a nonlinear identification method based on PSO.The whole process of deep foundation excavation deformation is fitted and analyzed,and its deformation characteristics are studie...
