计算机应用与软件2012，Vol.29Issue(1)：56-59,4.
改进的动态模糊神经网络及其在人脸识别中的应用
IMPROVED DYNAMIC FUZZY NEURAL NETWORKS WITH ITS APPLICATION TO FACE RECOGNITION
摘要
Abstract
In this paper, an improved Dynamic Fuzzy Neural Network is proposed by combining Dynamic Fuzzy Neural Network and Compensatory Fuzzy Neural Network. At first, the structure and learning algorithm of the Dynamic Compensatory Fuzzy Neural Network, abbr. DCFNN, is introduced, next they are applied to face recognition. Face image recognition experiments on Weizmann face database and ORL face database show that the performance of DCFNN is better than that of ordinary Dynamic Fuzzy Neural Networks.关键词
模糊神经网络/动态补偿模糊神经网络/模糊规则/人脸识别Key words
Fuzzy neural network/Dynamic compensatory fuzzy neural network/Fuzzy rule/Face recognition分类
信息技术与安全科学引用本文复制引用
梅蓉蓉,吴小俊,冯振华..改进的动态模糊神经网络及其在人脸识别中的应用[J].计算机应用与软件,2012,29(1):56-59,4.基金项目
国家自然科学基金(60572034,60973094) （60572034,60973094）
教育部新世纪优秀人才计划项目(NCET-06-0487) （NCET-06-0487）
江苏省自然科学基金(BK2006081) （BK2006081）
江南大学创新团队研究计划项目(JNIRT0702). （JNIRT0702）
