Thesis

 

2012

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Diseño automatico de redes de neuronas artificiales para la prediccion de series temporales". PhD Thesis. Carlos III University of Madrid. May, 2012.

 

Journals

 

2014

 

- J. Peralta, Paulo Cortez "Evolutionary Optimization of Sparsely Connected and Time-Lagged Neural Networks for Time Series Forecasting. Applied Soft Computing. DOI:

 

- Paulo Cortez, J. Peralta "Global and decomposition evolutionary support vector machine approaches for time series forecasting. Neural computing and applications. DOI: 10.1007/s00521-014-1593-1

 

- Joan Marc Llargues Asensio, J. Peralta, Raul Arrabales, Manuel Gonzalez Bedia, Paulo Cortez, Antonio Lopez Peña "Artificial Intelligence Approaches for the Generation and Assessment of Believable Human-Like Behaviour in Virtual Characters". Expert Systems With Applications. DOI: 10.1016/j.eswa.2014.05.004

 

2012

 

- Martin Stepnicka, Paulo Cortez, J. Peralta, Lenka Stepnickova "Forecasting seasonal time series with computational intelligence: on recent methods and the potential of their combinations". Expert Systems With Applications. DOI: 10.1016/j.eswa.2012.10.001

 

 

- J. Peralta, Paulo Cortez, G. Gutierrez, A. Sanchis, "Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble". Neurocomputing. DOI:

 

2011

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Time series forecasting. A comparative study between an evolving artificial neural networks system and statistical methods". International Journal on Artificial Intelligence Tools. DOI: 10.1142/S0218213011000462.

 

 

- J. Peralta, Xiadong Li, G. Gutierrez, A. Sanchis, "Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm". Neural Computing & Applications. DOI: 10.1007/s00521-011-0741-0.

 

 

Books & Book Chapters

 

2011

 

- J. Peralta, Paulo Cortez, G. Gutierrez, A. Sanchis, "Weighted cross-validation evolving artificial neural networks to forecast time series". PAMMS-SOCO 2011. Volume 87, 147-154. ISBN 978-3-642-19643-0.

 

2007

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Design of Artificial Neural Networks Base on Genetic Algorithms to Forecast Time Series". HAIS 2007 (CAEPIA 2007). Volume 44, 231-238. ISBN 978-3-540-74971-4.

 

Conferences

 

2014

 

- Joan Marc Llargues Asensio, Juan Peralta Donate and Paulo Cortez "Evolving Artificial Neural Networks Applied to Generate Virtual Characters". IEEE-CIG 2014. ISBN

 

2013

 

- Sergio Jurado, Juan Peralta, Angela Nebot, Francisco Mugica and Paulo Cortez, "Short-term Electric Load Forecasting using Computational Intelligence Methods".IEEE-Fuzzy 2013. ISBN 978-1-4799-0020-6.

 

2012

 

- Borja Prior, J. Peralta, Paulo Cortez, G. Gutierrez, A. Sanchis, "Parallelization of an Evolving Artificial Neural Networks System to Forecast Time Series using OPENMP and MPI". IEEE-EAIS 2012. ISBN 978-1-4673-1727.

 

 

- Paulo Cortez, J. Peralta, "Evolutionary Support Vector Machines for Time Series Forecasting". ICANN 2012. ISBN 978-3-642-33265-4.

 

2011

 

- J. Peralta, Martin Stepnicka , Paulo cortez, Lenka Vavrickova, G. Gutierrez, "Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods". EUSFLAT 2011. ISBN 978-90-78677-00-0.

 

 

- J. Peralta, Paulo Cortez, G. Gutierrez, A. Sanchis, "Evolving Sparsely Connected Neural Networks for Multi-Step Ahead Forecasting". GECCO 2011. ISBN 978-1-4503-0557-0.

 

 

- J. Peralta, Paulo Cortez, G. Gutierrez, A. Sanchis, "Evolving Time-Lagged Feedfordward Neural Networks for Time Series Forecasting". GECCO 2011. ISBN 978-1-4503-0557-0.

 

2010

 

- J. Peralta, Xiaodong Li, G. Gutierrez, A. Sanchis, "Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution".IEEE-IJCNN 2010. ISBN 978-1-4244-6917-8.

 

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Time series forecasting by evolving artificial neural networks using "Shuffle", cross-validation and ensembles". ICANN 2010. ISBN 978-3-642-15818-6.

 

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms". IEEE-IJCNN 2010. ISBN 978-1-4244-6917-8.

 

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Automatic Design of Artificial Neural Networks to forecast time series". Actas del V Simposio de Teoria y Aplicaciones de Mineria de Datos. TAMIDA 2010. III Congreso Español de Informatica. CEDI 2010. ISBN 978-84-92812-62-2.

 

2009

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Shuffle Design to Improve Time Series Forecasting Accuracy". IEEE-CEC 2009. ISBN 978-1-4244-2959-2.

 

 

- J. Peralta, G. Gutierrez, A. Sanchis, "ADANN: Automatic Design of Artificial Neural Networks to forecast time series". ISF 2009.

 

2008

 

- J. Peralta, G. Gutierrez, A. Sanchis, "ADANN: Automatic Design of Artificial Neural Networks". ARC-FEC 2008 (GECCO 2008). ISBN 978-1-60558-131-6.

 

 

2007

 

 

- J. Peralta, G. Gutierrez, A. Sanchis, "Design of Artificial Neural Networks Base on Genetic Algorithms to Forecast Time Series". HAIS 2007 (CAEPIA 2007). ISBN 978-3-540-74971-4.

 

 

2003

 

- J. Peralta, E. Arias, V. Hernandez, J. J. Ibañez, "Algoritmos Paralelos para la resolución de Ecuaciones Diferenciales Ordinarias Mediante OpenMP " In: XIV Jornadas de Paralelismo, 2003, Sesión G, pp 239-244, Leganés (Madrid), Group ARCOS, University Carlos III. ISBN 84-89315-34-5.