OPTIMIZATION OF NEURAL NETWORK’S TRAINING SETS VIA CLUSTERING: APPLICATION IN SOLAR COLLECTOR REPRESENTATION

Luis E. Zárate, Elizabeth Marques Duarte Pereira, Daniel Alencar Soares, João Paulo D. Silva, Renato Vimieiro, Antonia Sonia Cardoso Diniz

2004

Abstract

Due to the necessity of new ways of energy producing, solar collector systems have been widely used around the world. There are mathematical models that calculate the efficiency of those systems; however these models involve several parameters that may lead to nonlinear equations of the process. Artificial Neural Networks have been proposed in this work as an alternative of those models. However, a better modeling of the process by means of ANN depends on a representative training set; thus, in order to better define the training set, the clustering technique called k-means has been used in this work.

References

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  11. Table I.1: Collected data sample.
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Paper Citation


in Harvard Style

E. Zárate L., Marques Duarte Pereira E., Alencar Soares D., Paulo D. Silva J., Vimieiro R. and Sonia Cardoso Diniz A. (2004). OPTIMIZATION OF NEURAL NETWORK’S TRAINING SETS VIA CLUSTERING: APPLICATION IN SOLAR COLLECTOR REPRESENTATION . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 147-152. DOI: 10.5220/0002606001470152


in Bibtex Style

@conference{iceis04,
author={Luis E. Zárate and Elizabeth Marques Duarte Pereira and Daniel Alencar Soares and João Paulo D. Silva and Renato Vimieiro and Antonia Sonia Cardoso Diniz},
title={OPTIMIZATION OF NEURAL NETWORK’S TRAINING SETS VIA CLUSTERING: APPLICATION IN SOLAR COLLECTOR REPRESENTATION},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={147-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002606001470152},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - OPTIMIZATION OF NEURAL NETWORK’S TRAINING SETS VIA CLUSTERING: APPLICATION IN SOLAR COLLECTOR REPRESENTATION
SN - 972-8865-00-7
AU - E. Zárate L.
AU - Marques Duarte Pereira E.
AU - Alencar Soares D.
AU - Paulo D. Silva J.
AU - Vimieiro R.
AU - Sonia Cardoso Diniz A.
PY - 2004
SP - 147
EP - 152
DO - 10.5220/0002606001470152