DocumentCode
506599
Title
Fuzzy art neural network model and its application
Author
Gu, Ming
Author_Institution
Dept. of Software Eng., ShenZhen Polytech., Shenzhen, China
Volume
1
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
195
Lastpage
198
Abstract
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 Yale face database are used for simulation experiment.
Keywords
face recognition; fuzzy neural nets; learning (artificial intelligence); AT&T Yale face database; face recognition; fuzzy adaptive resonance theory neural network model; online learning; simulation experiment; Application software; Art; Face detection; Face recognition; Fuzzy neural networks; Fuzzy systems; Humans; Neural networks; Spatial databases; Subspace constraints; Algorithm; Face recognition; Fuzzy ART; Neural network; Online training;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5357895
Filename
5357895
Link To Document