Juan Peralta

Orcid: 0000-0001-9812-2281

According to our database1, Juan Peralta authored at least 23 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Particle Swarm Optimization applied on Fuzzy Control: Comparative analysis for an Quarter-car Active Suspension Model.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2017
Determination of the equivalent parameters for modelling a McPherson suspension with a quarter-car model.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

2014
Global and decomposition evolutionary support vector machine approaches for time series forecasting.
Neural Comput. Appl., 2014

Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters.
Expert Syst. Appl., 2014

Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting.
Appl. Soft Comput., 2014

Evolving Artificial Neural Networks applied to generate virtual characters.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
Neural Comput. Appl., 2013

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble.
Neurocomputing, 2013

Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations.
Expert Syst. Appl., 2013

Short-term electric load forecasting using computational intelligence methods.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods.
Int. J. Artif. Intell. Tools, 2012

Evolutionary Support Vector Machines for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

Evolving sparsely connected neural networks for multi-step ahead forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving time-lagged feedforward neural networks for time series forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

2010
Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution.
Proceedings of the International Joint Conference on Neural Networks, 2010

Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2010

Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Shuffle design to improve time series forecasting accuracy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

ADANN: automatic design of artificial neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


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