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ORCIDJuan Peralta
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2020 – today
- 2022
[c15]Jorge Hurel, Jorge Amaya
, Juan Peralta, Darwin Alvarado, Francisca Flores:
Particle Swarm Optimization applied on Fuzzy Control: Comparative analysis for an Quarter-car Active Suspension Model. ICIT 2022: 1-8
2010 – 2019
- 2017
- [c14]Jorge Hurel, Juan Peralta, Jorge Amaya, Bolivar Flores, Francisca Flores:
Determination of the equivalent parameters for modelling a McPherson suspension with a quarter-car model. ISIE 2017: 454-459 - 2014
- [j7]Juan Peralta Donate, Paulo Cortez:
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. Appl. Soft Comput. 23: 432-443 (2014) - [j6]Joan Marc Llargues Asensio, Juan Peralta, Raúl Arrabales, Manuel González Bedia, Paulo Cortez, Antonio M. López Peña:
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters. Expert Syst. Appl. 41(16): 7281-7290 (2014) - [j5]Paulo Cortez, Juan Peralta Donate:
Global and decomposition evolutionary support vector machine approaches for time series forecasting. Neural Comput. Appl. 25(5): 1053-1062 (2014) - [c13]Joan Marc Llargues Asensio, Juan Peralta Donate, Paulo Cortez:
Evolving Artificial Neural Networks applied to generate virtual characters. CIG 2014: 1-5 - 2013
- [j4]Martin Stepnicka, Paulo Cortez, Juan Peralta Donate, Lenka Stepnicková:
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations. Expert Syst. Appl. 40(6): 1981-1992 (2013) - [j3]Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Neurocomputing 109: 27-32 (2013) - [j2]Juan Peralta Donate, Xiaodong Li, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm. Neural Comput. Appl. 22(1): 11-20 (2013) - [c12]Sergio Jurado, Juan Peralta, Àngela Nebot, Francisco Mugica, Paulo Cortez:
Short-term electric load forecasting using computational intelligence methods. FUZZ-IEEE 2013: 1-8 - 2012
- [j1]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. Int. J. Artif. Intell. Tools 21(1) (2012) - [c11]Borja Prior González, Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. EAIS 2012: 186-191 - [c10]Paulo Cortez, Juan Peralta Donate:
Evolutionary Support Vector Machines for Time Series Forecasting. ICANN (2) 2012: 523-530 - 2011
- [c9]Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavrickova, Germán Gutiérrez:
Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. EUSFLAT Conf. 2011: 464-471 - [c8]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 - [c7]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 - [c6]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
- [c5]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. ICANN (1) 2010: 50-53 - [c4]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms. IJCNN 2010: 1-8 - [c3]Juan Peralta, Xiaodong Li, Germán Gutiérrez, Araceli Sanchis:
Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c2]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Shuffle design to improve time series forecasting accuracy. IEEE Congress on Evolutionary Computation 2009: 741-748 - 2008
- [c1]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
ADANN: automatic design of artificial neural networks. GECCO (Companion) 2008: 1863-1870 - [p1]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series. Innovations in Hybrid Intelligent Systems 2008: 231-238
Coauthor Index
aka: Germán Gutiérrez Sánchez
aka: Araceli Sanchis de Miguel
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