FUZZY ART NEURAL NETWORK MODEL AND ITS APPLICATION

摘要：

The model based on fuzzy ART neural network is designed and realized. It can deal with online learning and recognition of the known and unknown faces at the same time. The simulation experiment results show an online maximum recognition rate is 91.25％ when the proper network parameters are selected. 400 images of 40 persons in the AT&T 和 Yale face database1 are used for simulation experiment.

关键词： Neural network, Fuzzy ART Face recognition Algorithm Online training

作者: MING GU

作者单位: Dept.of Software Engineering,ShenZhen PolytechnicShenZhen 518055,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 195-198

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）