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Authors: David Targueta da Silva ; Pedro Henrique Gouvêa Coelho ; Joaquim Augusto Pinto Rodrigues and Luiz Biondi Neto

Affiliation: State University of Rio de Janeiro, FEN/DETEL, Brazil

Keyword(s): Computational Intelligence, Artificial Neural Network, Identification of Faults, Electrical Systems, Hidden Layers.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Strategic Decision Support Systems

Abstract: This work describes performance evaluation of ANNs (Artificial Neural Networks) used to identify faults in electrical systems for several number of neurons in the hidden layers. The number of neurons in the hidden layers depends on the complexity of the problem to be represented. Currently, there are no reliable rules for determining, a priori, the number of hidden neurons, so that such number depends largely on the experience of the practitioners who are designing the ANNs. This paper reports experiment results using neural networks varying the number of hidden neurons to aid the neural network user to find an adequate configuration in terms of number of neurons in the hidden layers so that ANNs be more efficient particularly for fault identification applications.

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Paper citation in several formats:
Targueta da Silva, D.; Henrique Gouvêa Coelho, P.; Augusto Pinto Rodrigues, J. and Biondi Neto, L. (2010). ASSESSMENT OF THE CHANGE IN THE NUMBER OF NEURONS IN HIDDEN LAYERS OF NEURAL NETWORKS FOR FAULT IDENTIFICATION IN ELECTRICAL SYSTEMS . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 978-989-8425-05-8; ISSN 2184-4992, SciTePress, pages 309-313. DOI: 10.5220/0002910203090313

@conference{iceis10,
author={David {Targueta da Silva}. and Pedro {Henrique Gouvêa Coelho}. and Joaquim {Augusto Pinto Rodrigues}. and Luiz {Biondi Neto}.},
title={ASSESSMENT OF THE CHANGE IN THE NUMBER OF NEURONS IN HIDDEN LAYERS OF NEURAL NETWORKS FOR FAULT IDENTIFICATION IN ELECTRICAL SYSTEMS },
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2010},
pages={309-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002910203090313},
isbn={978-989-8425-05-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - ASSESSMENT OF THE CHANGE IN THE NUMBER OF NEURONS IN HIDDEN LAYERS OF NEURAL NETWORKS FOR FAULT IDENTIFICATION IN ELECTRICAL SYSTEMS
SN - 978-989-8425-05-8
IS - 2184-4992
AU - Targueta da Silva, D.
AU - Henrique Gouvêa Coelho, P.
AU - Augusto Pinto Rodrigues, J.
AU - Biondi Neto, L.
PY - 2010
SP - 309
EP - 313
DO - 10.5220/0002910203090313
PB - SciTePress