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Rule extraction from artificial neural networks for voltage security analysis

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3 Author(s)
Abrao, P.J. ; Fed. Center of Technol. Educ., Goias, Brazil ; Alves da Silva, A.P. ; de Souza, A.C.Z.

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

Published in:

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:3 )

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