• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 19 Issue 4
Aug.  2006
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Article Contents
XIA Guoen, JIN Weidong, ZHANG Gexiang. Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine[J]. Journal of Southwest Jiaotong University, 2006, 19(4): 522-527.
Citation: XIA Guoen, JIN Weidong, ZHANG Gexiang. Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine[J]. Journal of Southwest Jiaotong University, 2006, 19(4): 522-527.

Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine

  • Received Date: 21 Jan 2005
  • Publish Date: 25 Aug 2006
  • To improve the synthetic evaluation and ranking abilities of machine learning methods,a support vector multi-classifier and a support vector regression machine were applied to the ranking of synthetic evaluation.By taking the evaluation of a management information system as an example,a contrast research between the proposed approach and ANN(artificial neural network) was made.Experimental results show that the difference of synthetic evaluation scores obtained by a support vector multi-classifier is more remarkable than that by ANN,and the relative error of synthetic evaluation scores based on a support vector regression machine is smaller than that based on ANN.

     

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