IDENTIFICATION OF NONLINEAR SYSTEM VIA SVR OPTIMIZED BY PARTICLE SWARM ALGORITHM

摘要

Given the influence of the selection of regression parameters on the accuracy of SVR model and its ability of learning and generalization, this article adopts the particle swarm optimization algorithm to build the SVR model and applies it to the modeling