PSO-LSSVM Prediction Model and Its MATLAB Implementation

Abstract

The particle swarm optimization (PSO) is added to a least squares support vector machine (LSSVM) prediction model, to achieve an objective optimization of parameters, thus globally optimizing the prediction model and improving the prediction accuracy of the model. According to the experimental results, the estimated values of the model are highly consistent with the actual values, which prove the validity of the prediction via the PSO-LSSVM model.