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
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;
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
DOI :
10.1109/TENCON.1993.320065
