A summary on the study of the medium-term forecasting of the extra-virgen olive oil price

Authors:
Antonio Jesús Rivera;María Dolores Pérez-Godoy;María José Del Jesus;Pedro Pérez-Recuerda;María Pilar Frías;Manuel Parras
Affiliations:
University of Jaén, Spain;University of Jaén, Spain;University of Jaén, Spain;University of Jaén, Spain;University of Jaén, Spain;University of Jaén, Spain
Venue:
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Year:
2011

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Abstract

In this paper we present a summary of the application of CO2RBFN, a evolutionary cooperative-competitive algorithm for Radial Basis Function Networks design, to the medium-term forecasting of the extra-virgen olive price, carry out by the SIMIDAT research group. The forecast is about the price at source of the extra-virgin olive oil six months ahead. The influential of the feature selection algorithms over the forecasting of the extra-virgin olive oil price has been analysed in this study and the results obtained with CO2RBFN have been compared with those obtained by different soft computing methods.