A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price

TitleA Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price
Publication TypeConference Paper
Year of Publication2011
AuthorsRivera, Antonio J., Pérez-Godoy M.D., del Jesus M. J., Pérez-Recuerda Pedro, Frías María Pilar, and Parras Manuel
EditorLozano, Jose A., Gámez José A., and Moreno José A.
Conference NameAdvances in Artificial Intelligence
Pagination263–272
PublisherSpringer Berlin Heidelberg
Conference LocationBerlin, Heidelberg
ISBN Number978-3-642-25274-7
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.