›› 2016, Vol. 29 ›› Issue (6): 37-.

• Articles • Previous Articles     Next Articles

Application Research on Classification Method of Relevance Vector Machine

GU Jian   

  1. (School of OpticalElectrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093, China)
  • Online:2016-06-15 Published:2016-06-22
  • About author:顾健(1991-),男,硕士研究生。研究方向:电力系统安全状态评估。

Abstract:

Aiming at the problem of relevance vector machine that when the training data set is large,the training time of the model becomes more complicated.Bsaed on the Quick Marginal Likelihood Algorithm proposed by MichalE.Tipping.,we establishe the power system security state assessment model of improved and old RVM Algorithm.By comparing the test results,The improved algorithm not only has high accuracy and sparsity but also greatly shortens the running time.Effectively solve the problem that when the training data set is large,the training time of the model becomes more complicated.

Key words: relevance vector machine, Matlab, quick marginal likelihood algorithm

CLC Number: 

  • TP306.1