Volume 35 Issue 2
Feb.  2010
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YANG Liu, LIU Yanfang. Feature Subset Selection for Driving Forces of Cultivated Land Based on PSO-SVM[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 248-251.
Citation: YANG Liu, LIU Yanfang. Feature Subset Selection for Driving Forces of Cultivated Land Based on PSO-SVM[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 248-251.
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Feature Subset Selection for Driving Forces of Cultivated Land Based on PSO-SVM

  • 1School of Resources and Environment Engineering,Wuhan University of Technology,122 Luoshi Road,Wuhan 430070,China;2School of Resource and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3Key Laboratory of Geographic Information System,Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家863计划资助项目(2007AA12Z225)；国家“十一五”支撑计划资助项目(2006BAB15B04)
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  • Received Date: December 16, 2009
  • Revised Date: December 16, 2009
  • Published Date: February 04, 2010
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    • Abstract
  • The particle swarm optimization(PSO) has the character of the high implementing speed.It is little affected by dimension.The support vector machines(SVM) is based on the theory of structural risk minimization.Combining the binary particle swarm optimization(BPSO) and the SVM,the feature subset selection for driving forces of cultivated land is constructed.This method uses the features defined in the feature subset to train the SVM which is evaluated by fitness fuction.The result of fitness fuction is utilized to direct the BPSO to search.The case study shows that this method has the excellent efficiency to select the feature subset.
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