Elisabet Parras-Gutierrez

According to our database, Elisabet Parras-Gutierrez authored at least 14 papers between 2008 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Time series forecasting using evolutionary neural nets implemented in a volunteer computing system.

Víctor Manuel Rivas Santos, Elisabet Parras-Gutierrez, Juan Julián Merelo Guervós, Maribel García Arenas, Pablo García-Fernández

Intell. Syst. Account. Finance Manag., 2017

2016

Web Browser-Based Forecasting of Economic Time-Series.

Víctor M. Rivas, Elisabet Parras-Gutierrez, Juan Julián Merelo Guervós, Maribel García Arenas, Pablo García-Fernández

Proceedings of the Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978), 2016

2014

Short, medium and long term forecasting of time series using the L-Co-R algorithm.

Elisabet Parras-Gutierrez, Víctor M. Rivas, Maribel García Arenas, María José del Jesus

Neurocomputing, 2014

2013

The L-Co-R Co-evolutionary Algorithm - A Comparative Analysis in Medium-term Time-series Forecasting Problems.

Elisabet Parras-Gutierrez, Víctor M. Rivas, Juan Julián Merelo Guervós

Proceedings of the IJCCI 2013, 2013

2012

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm.

Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor M. Rivas, María José del Jesus

Soft Comput., 2012

2010

Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment.

Elisabet Parras-Gutierrez, Víctor M. Rivas

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification.

Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus, Juan Julián Merelo Guervós

Proceedings of the Distributed Computing, 2009

Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.

Maribel García Arenas, Elisabet Parras-Gutierrez, Víctor M. Rivas, Pedro A. Castillo, María José del Jesus, Juan Julián Merelo Guervós

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting.

Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms.

Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor Manuel Rivas Santos

Proceedings of the Engineering Applications of Neural Networks, 2009

2008

An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.

Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.

Elisabet Parras-Gutierrez, María José del Jesus, Víctor M. Rivas, Juan Julián Merelo Guervós

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.

Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design.

Elisabet Parras-Gutierrez, María José del Jesus, Juan Julián Merelo Guervós, Víctor M. Rivas

Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008