DocumentCode
2918647
Title
Automated rule based model generation for uncertain complex dynamic systems
Author
Batur, Celal ; Srinivasan, Arvind ; Chan, Chien-Chung
Author_Institution
Akron Univ., OH, USA
fYear
1991
fDate
13-15 Aug 1991
Firstpage
275
Lastpage
279
Abstract
An attempt is made to model a dynamic system by a set of production rules. These rules are automatically induced from a set of training data by the ID3 algorithm of J.R. Quinlan (1983, 1986). The effects of data quantization and number of attributes on the model performance are discussed. The algorithm is applied to a simulated linear system and to real gas furnace data
Keywords
knowledge acquisition; large-scale systems; ID3 algorithm; automated rule-based model generation; data quantization; gas furnace data; linear system; production rules; training data; uncertain complex dynamic systems; Automatic control; Control systems; Decision trees; Humans; Kilns; Knowledge acquisition; Neural networks; Nonlinear dynamical systems; Process control; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
Conference_Location
Arlington, VA
ISSN
2158-9860
Print_ISBN
0-7803-0106-4
Type
conf
DOI
10.1109/ISIC.1991.187370
Filename
187370
Link To Document