In the application of regression prediction through big data technology, the error between the predicted value and the true value is often large. In order to reduce the error of data prediction, this paper proposes an Intelligent Data Prediction (IDP) scheme for Smart Service. It uses Least Squares Support Vector Machine (LSSVM) as the basic prediction model. Since there is no standard procedure for determining the main parameters of LSSVM, an improved Particle Swarm Optimization (MBPSO) algorithm is used to simultaneously optimize the paramete...
