«Short, medium and long term forecasting of time series using the L-Co-R algorithm» accepted in Neurocomputing

We have just been informed that our paper «Short, medium and long term forecasting of time series using the L-Co-R algorithm» has been accepted to be published in Neurocomputing.
The paper describes the coevolutionary algorithm L-Co-R (Lags COevolving with Radial Basis Function Neural Networks – RBFNs), and analyzes its performance in the forecasting of time series in the short, medium and long terms.
As soon as it has a DOI number, we will update this entry.
Authors of this work include PhD. Maribel García Arenas and PhD. Víctor M. Rivas Santos (from GeNeura Team), and PhD. Elisabet Parras Gutierrez and PhD. María José Del Jesus Diaz, both of them from the University of Jaén.