ADANN: automatic design of artificial neural networks. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (GECCO (Companion), 2008)

Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (Innovations in Hybrid Intelligent Systems, 2008)

Shuffle design to improve time series forecasting accuracy. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (IEEE Congress on Evolutionary Computation, 2009)

Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (ICANN (1), 2010)

Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (IJCNN, 2010)

Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution. - Juan Peralta; Xiaodong Li 001; Germán Gutiérrez; Araceli Sanchis (IJCNN, 2010)

Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. - Martin Stepnicka; Juan Peralta Donate; Paulo Cortez 001; Lenka Vavrickova; Germán Gutiérrez (EUSFLAT Conf., 2011)

Evolving time-lagged feedforward neural networks for time series forecasting. - Juan Peralta Donate; Paulo Cortez 001; Araceli Sanchis de Miguel; Germán Gutiérrez Sánchez (GECCO (Companion), 2011)

Evolving sparsely connected neural networks for multi-step ahead forecasting. - Juan Peralta Donate; Paulo Cortez 001; Araceli Sanchis de Miguel; Germán Gutiérrez Sánchez (GECCO (Companion), 2011)

Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. - Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (SOCO, 2011)

Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. - Borja Prior González; Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (EAIS, 2012)

Evolutionary Support Vector Machines for Time Series Forecasting. - Paulo Cortez 001; Juan Peralta Donate (ICANN (2), 2012)

Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods. - Juan Peralta Donate; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Int. J. Artif. Intell. Tools, 2012)

Short-term electric load forecasting using computational intelligence methods. - Sergio Jurado; Juan Peralta; Àngela Nebot; Francisco Mugica; Paulo Cortez 001 (FUZZ-IEEE, 2013)

Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations. - Martin Stepnicka; Paulo Cortez 001; Juan Peralta Donate; Lenka Stepnicková (Expert Syst. Appl., 2013)

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. - Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Neurocomputing, 2013)

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm. - Juan Peralta Donate; Xiaodong Li 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Neural Comput. Appl., 2013)

Evolving Artificial Neural Networks applied to generate virtual characters. - Joan Marc Llargues Asensio; Juan Peralta Donate; Paulo Cortez 001 (CIG, 2014)

Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. - Juan Peralta Donate; Paulo Cortez 001 (Appl. Soft Comput., 2014)

Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters. - Joan Marc Llargues Asensio; Juan Peralta; Raúl Arrabales; Manuel González Bedia; Paulo Cortez 001; Antonio M. López Peña (Expert Syst. Appl., 2014)

Global and decomposition evolutionary support vector machine approaches for time series forecasting. - Paulo Cortez 001; Juan Peralta Donate (Neural Comput. Appl., 2014)

Determination of the equivalent parameters for modelling a McPherson suspension with a quarter-car model. - Jorge Hurel; Juan Peralta; Jorge Amaya; Bolivar Flores; Francisca Flores (ISIE, 2017)

Particle Swarm Optimization applied on Fuzzy Control: Comparative analysis for an Quarter-car Active Suspension Model. - Jorge Hurel; Jorge Amaya; Juan Peralta; Darwin Alvarado; Francisca Flores (ICIT, 2022)