DocumentCode :
1811607
Title :
An expert system for pattern recognition based on features and knowledge
Author :
Zhou, Guan-Xiong ; Ping, Xiao ; Lei, Yi-Wu ; Zhou, Hai-Ming
Author_Institution :
Dept. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, Hubei, China
fYear :
1988
fDate :
14-17 Nov 1988
Firstpage :
1239
Abstract :
An expert system for pattern recognition based on features and knowledge is realized, and the theoretical and practical problems involved are discussed. The system, designed for analysis of geological patterns, has two novel characteristics. First, the system uses both features and knowledge for its analysis; there is some interaction between the two types of data. Secondly, the control strategy is based on an incomplete-reasoning and regression thinking model. The system is realized and proved to be effective
Keywords :
computerised pattern recognition; expert systems; geology; computerised pattern recognition; expert system; features; geological patterns; incomplete-reasoning; knowledge; pattern recognition; regression thinking model; Cognition; Computational modeling; Computer science; Computer simulation; Expert systems; Humans; Intelligent systems; Paper technology; Pattern analysis; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28481
Filename :
28481
Link To Document :
بازگشت