“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.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s