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An Ensemble Learning Model Based On Ann And Svm
supervised machine learning; Artificial Neural Networks; Support Vector Machine; ensemble learning
Final Paper
鹏伟 李 / 装备学院
源泽 孙 / 装备学院
Ensemble learning employs multiple learners and combines their predictions to increase the overall accuracy of prediction. In this paper, firstly, we analyze the usual supervised machine learning mechanism, and quantify the performance of Artificial Neural Networks (ANN) and Support Vector Machine (SVM).Then we proposed an novel ensemble learning model based on ANN and SVM. The results show that this ensemble learning model improves the overall accuracy.
Important Date
  • Conference Date

    Jan 22

    2015

    to

    Feb 23

    2015

  • Dec 20 2014

    Draft paper submission deadline

  • Dec 20 2014

    Early Bird Registration

  • Dec 31 2014

    Final Paper Deadline

  • Feb 23 2015

    Registration deadline

  • Apr 20 2015

    Abstract Submission Deadline

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