The parameters selection in Least Squares Support Vector Machines（LSSVM） takes long time and is easy to fall into local optimum and leads to the ovefitting problem.A new method is proposed based on uniform design,in which the large-scale search is changed into the small-scale search.Each training process the the support vector machine algorithm is considered as a pilot to test the impact factors of the algorithm parameters,then uniform design is used to design parameters,and statistical methods are used to analyze the results and select param...
