Title :
Rule extraction from artificial neural networks for voltage security analysis
Author :
Abrão, P.J. ; Silva, A. P Alves da ; De Souza, A. C Zambroni
Author_Institution :
Fed. Center of Technol. Educ., Goias, Brazil
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents a methodology based on production rules extracted from artificial neural networks. The aim is assessing voltage security under a new point of view. This methodology is compared with decision trees, and the results obtained render this technique as a viable alternative. The IEEE-14 bus system is used
Keywords :
decision theory; knowledge acquisition; knowledge based systems; IEEE-14 bus system; artificial neural networks; decision trees; production rules; rule extraction; voltage security; voltage security analysis; Artificial neural networks; Decision trees; Educational products; Educational technology; Hybrid power systems; Inference algorithms; Neural networks; Power system security; Power system stability; Voltage;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007470
