Rule extraction from artificial neural networks for voltage security analysis

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-1...

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Bibliographic Details
Main Authors: Abrao, P.J., Alves da Silva, A.P., Zambroni de Souza, A.C.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Decision trees
Educational products
Educational technology
Hybrid power systems
Inference algorithms
Neural networks
Power system security
Power system stability
Voltage
Online Access:Request full text
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Description
Summary: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.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.2002.1007470