微型机与应用Issue(19)：48-51,4.
基于EMRBF情感神经网络的人脸识别
Face recognition based on emotional RBF neural network
杨国亮 1漆娟娟 1张丽2
作者信息
- 1. 江西理工大学 电气工程与自动化学院，江西 赣州 341000
- 2. 玉溪师范学院 信息技术工程学院，昆明 玉溪 653100
- 折叠
摘要
Abstract
This paper proposes a face recognition method based on emotional RBF (EMRBF) neural network which introduces an emotional factor to the traditional RBF neural network. It provides the structure of the EMRBF, defines a new training criterion function, deduces EMRBF network weight training algorithm. The method firstly extractes face feature by PCA and LDA, and then designes EMRBF face classifier. The experiment on ORL face database shows that EMRBF network recognition rate reach 98%. EMRBF performance has significantly improve compared to the normal RBF network.关键词
人脸识别/情感因子/准则函数/RBF 神经网络/情感神经网络Key words
face recognition/emotional factor/criterion function/RBF neural network/emotional neural network分类
信息技术与安全科学引用本文复制引用
杨国亮,漆娟娟,张丽..基于EMRBF情感神经网络的人脸识别[J].微型机与应用,2013,(19):48-51,4.
