 | 2012 |
| 10 |  | Juan Peralta Donate,
Germán Gutiérrez Sánchez,
Araceli Sanchis de Miguel:
Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods.
International Journal on Artificial Intelligence Tools 21(1): (2012) |
| 2011 |
| 9 |  | Juan Peralta Donate,
Paulo Cortez,
Araceli Sanchis de Miguel,
Germán Gutiérrez Sánchez:
Evolving time-lagged feedforward neural networks for time series forecasting.
GECCO (Companion) 2011: 163-164 |
| 8 |  | Juan Peralta Donate,
Paulo Cortez,
Araceli Sanchis de Miguel,
Germán Gutiérrez Sánchez:
Evolving sparsely connected neural networks for multi-step ahead forecasting.
GECCO (Companion) 2011: 219-220 |
| 7 |  | Juan Peralta Donate,
Paulo Cortez,
Germán Gutiérrez Sánchez,
Araceli Sanchis de Miguel:
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series.
SOCO 2011: 147-154 |
| 2010 |
| 6 |  | Juan Peralta,
Germán Gutiérrez,
Araceli Sanchís:
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles.
ICANN (1) 2010: 50-53 |
| 5 |  | Juan Peralta,
Xiaodong Li,
Germán Gutiérrez,
Araceli Sanchís:
Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution.
IJCNN 2010: 1-8 |
| 4 |  | Juan Peralta,
Germán Gutiérrez,
Araceli Sanchís:
Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms.
IJCNN 2010: 1-8 |
| 2009 |
| 3 |  | Juan Peralta,
Germán Gutiérrez,
Araceli Sanchís:
Shuffle design to improve time series forecasting accuracy.
IEEE Congress on Evolutionary Computation 2009: 741-748 |
| 2008 |
| 2 |  | Juan Peralta,
Germán Gutiérrez,
Araceli Sanchís:
ADANN: automatic design of artificial neural networks.
GECCO (Companion) 2008: 1863-1870 |
| 1 |  | Juan Peralta,
Germán Gutiérrez,
Araceli Sanchís:
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series.
Innovations in Hybrid Intelligent Systems 2008: 231-238 |