RESEARCH OF IMPROVED SVM MODEL BASED ON GA IN E-LEARNING EMOTION CLASSIFICATION

摘要：

　　Aiming at the problem of different learning emotions in the integrated emotion model of the emotion recognition interactive E-learning system,this paper proposed an improved SVM classification algorithm to classify the leaming emotions,optimized the parameters of the SVM classifier with Genetic Algorithm,and applied it to the emotion classification of E-learning system.It has achieved good results based on relevant experiments.

关键词： E-learning learning emotion classification genetic algorithm support vector machine

作者: Wansen Wang Wenlan Ding

作者单位: Capital Normal University of Engineering Intelligence,Beijing 100048,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 1303-1307

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）