RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING

Nibaldo Rodriguez, Broderick Crawford, Eleuterio Yañez

Abstract

This paper deals with time series of monthly sardines catches in the north area of Chile. The proposed method combines radial basis function neural network (RBFNN) with wavelet denoising algorithm. Wavelet denoising is based on stationary wavelet transform with hard thresholding rule and the RBFNN architecture is composed of linear and nonlinear weights, which are estimated by using the separable nonlinear least square method. The performance evaluation of the proposed forecasting model showed that a 93% of the explained variance was captured with a reduced parsimony.

References

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Paper Citation


in Harvard Style

Rodriguez N., Crawford B. and Yañez E. (2008). RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-53-1, pages 308-311. DOI: 10.5220/0001893403080311


in Bibtex Style

@conference{icsoft08,
author={Nibaldo Rodriguez and Broderick Crawford and Eleuterio Yañez},
title={RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2008},
pages={308-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001893403080311},
isbn={978-989-8111-53-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING
SN - 978-989-8111-53-1
AU - Rodriguez N.
AU - Crawford B.
AU - Yañez E.
PY - 2008
SP - 308
EP - 311
DO - 10.5220/0001893403080311