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支持向量机在线增量学习算法的MATLAB实现

杨志红 隆涛

江汉大学学报(自然科学版)2016,Vol.44Issue(5):469-473,5.
江汉大学学报(自然科学版)2016,Vol.44Issue(5):469-473,5.DOI:10.16389/j.cnki.cn42-1737/n.2016.05.015

支持向量机在线增量学习算法的MATLAB实现

Realization of Online Incremental Learning Algorithm of Support Vector Machine Based on MATLAB

杨志红 1隆涛1

作者信息

  • 1. 江汉大学 物理与信息工程学院,湖北 武汉 430056
  • 折叠

摘要

Abstract

An online incremental learning algorithm is implemented with MATLAB based on the online training theory of support vector machine. This method uses the unidentified samples as incremental data to train classifier through svmtrain and svmpredict functions of LIBSVM toolkit. The results of handwritten numeral recognition GUI system demonstrate the correctness and effectiveness of the design ,moreover ,the incremental training can improve the training speed and improve the accuracy of handwritten numeral recognition in the case of taking into account the emergence of new samples.

关键词

支持向量机/在线增量学习算法/MATLAB/手写数字识别

Key words

support vector machine/online incremental learning algorithm/MATLAB/handwritten numeral recognition

分类

信息技术与安全科学

引用本文复制引用

杨志红,隆涛..支持向量机在线增量学习算法的MATLAB实现[J].江汉大学学报(自然科学版),2016,44(5):469-473,5.

江汉大学学报(自然科学版)

1673-0143

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