Emotion Recognition Model Based on RBF Neural Network in E-Learning

被引：1
|
作者：
Wang, Wansen [1 ]
Li, Rui [1 ]
机构：
[1] Capital Normal Univ, Coll Informat Engn, Beijing, Peoples R China
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013) | 2014年 / 277卷
关键词：
E-Learning; RBF neural network; Emotion recognition model;
D O I：
10.1007/978-3-642-54924-3_54
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a method that uses RBF neural network to build Emotion Recognition Model in E-Learning system. It can effectively identify academic emotion, and is aimed at improving the teaching achievements and making up the lack of emotion in the traditional teaching mode. The experiments compare the emotion recognition rate of the BP neural network and RBF neural network; the recognition rate of RBF neural network is higher than BP neural network. The results show that the Emotion Recognition Model based on RBF neural network has high rate of recognition and better real-time capabilities.
引用
收藏
页码：567 / 576
页数：10
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