A face recognition method based on singular value disturbance, algorithm of SLLE, and dynamic RBF neural network

2015 ◽  
Author(s):  
G.W. Yang ◽  
W.Y. Cao ◽  
X.F. Zhang
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Rbf Neural Network ◽  
Singular Value ◽  
Recognition Method

A novel face recognition approach based on kernel discriminative common vectors (KDCV) feature extraction and RBF neural network

2008 ◽  
Vol 71 (13-15) ◽  
pp. 3044-3048 ◽  
Author(s):  
Xiao-Yuan Jing ◽  
Yong-Fang Yao ◽  
Jing-Yu Yang ◽  
David Zhang
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Face Recognition ◽  
Rbf Neural Network

Face Recognition Method Based on the Fuzzy Neural Network

2011 ◽  
Vol 128-129 ◽  
pp. 134-137
Author(s):  
Xiang Pan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Face Recognition ◽  
Fuzzy Neural Network ◽  
Experimental Results ◽  
Fuzzy Rules ◽  
Good Effect ◽  
Recognition Method ◽  
Fuzzy Neural ◽  
Artificial Neural

This paper discusses a face recognition method based on the fuzzy neural network (FNN). The fuzzy neural network has more advantages than artificial neural network alone. The paper firstly introduces the structure of the FNN. Than proposed the fuzzy rules and the study algorithm. Thirdly it researches on the process of face recognition. The experimental results prove that this method can achieve good location performance and good effect of extraction.

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