DocumentCode
2038632
Title
A multi-level hybrid model for very-large-set pattern recognition
Author
Chen Xuede ; Chen Ling ; Wu Yupu ; Zhang Peifen
Author_Institution
Coll. of Comput., Shenyang Polytech. Univ., China
Volume
2
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
1122
Abstract
A multi-level hybrid model for pattern recognition with a very large set of classes is proposed. The model involves traditional classification methods, knowledge-based methods and neural network methods, employs the advantages of all three methods, and is more characteristic of human perception.<>
Keywords
inference mechanisms; knowledge based systems; neural nets; pattern recognition; classification methods; human perception; knowledge-based methods; multi-level hybrid model; neural network methods; very-large-set pattern recognition; Artificial neural networks; Automation; Educational institutions; Feature extraction; Humans; Neural networks; Pattern matching; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320065
Filename
320065
Link To Document