A BAYESIAN NEURAL-NETWORK FOR SEPARATING SIMILAR COMPLEX HANDWRITTEN CHINESE CHARACTERS

被引:3
作者
CHANG, HD
WANG, JF
KUO, SC
机构
[1] NATL CHENG KUNG UNIV,INST INFORMAT ENGN,1 UNIV RD,TAINAN 701,TAIWAN
[2] NATL CHENG KUNG UNIV,DEPT ELECT ENGN,TAINAN 701,TAIWAN
关键词
HANDWRITTEN CHINESE CHARACTER; NEURAL NETWORK; SHAPE CODING; RECOGNITION;
D O I
10.1016/0167-8655(94)90089-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A Bayesian neural network for separating characters with the same number of linear like strokes and cross-points is proposed. It is trained by an incremental learning vector quantization algorithm which endows this system with incremental learning ability.
引用
收藏
页码:403 / 408
页数:6
相关论文
共 4 条
[1]   NEOCOGNITRON - A NEURAL NETWORK MODEL FOR A MECHANISM OF VISUAL-PATTERN RECOGNITION [J].
FUKUSHIMA, K ;
MIYAKE, S ;
ITO, T .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1983, 13 (05) :826-834
[2]  
Lippmann R. P., 1988, Computer Architecture News, V16, P7, DOI [10.1109/MASSP.1987.1165576, 10.1145/44571.44572]
[3]  
WANG JF, 1991, 1991 P INT C COMP PR, P92
[4]  
YONG Y, 1988, PATTERN RECOGN, V7, P1