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
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;
Conference_Titel :
Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-0106-4
DOI :
10.1109/ISIC.1991.187370
