Motivated by the fact that automatic parameters selection for Support Vector Machine(SVM) is an important issue to make SVM practically useful and the common used Leave-One-Out(LOO) method is complex calculation and t...Motivated by the fact that automatic parameters selection for Support Vector Machine(SVM) is an important issue to make SVM practically useful and the common used Leave-One-Out(LOO) method is complex calculation and time consuming,an effective strategy for automatic parameters selection for SVM is proposed by using the Particle Swarm Optimization(PSO) in this paper.Simulation results of practice data model demonstrate the effectiveness and high efficiency of the proposed approach.展开更多
文摘Motivated by the fact that automatic parameters selection for Support Vector Machine(SVM) is an important issue to make SVM practically useful and the common used Leave-One-Out(LOO) method is complex calculation and time consuming,an effective strategy for automatic parameters selection for SVM is proposed by using the Particle Swarm Optimization(PSO) in this paper.Simulation results of practice data model demonstrate the effectiveness and high efficiency of the proposed approach.
