Esperanza García Gonzalo
Orcid: 0000-0002-3194-4448
According to our database1,
Esperanza García Gonzalo
authored at least 41 papers
between 2009 and 2024.
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Bibliography
2024
Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques.
J. Comput. Appl. Math., March, 2024
2023
Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques.
J. Comput. Appl. Math., December, 2023
A support vector regression model for time series forecasting of the COMEX copper spot price.
Log. J. IGPL, July, 2023
2021
A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression.
Neural Comput. Appl., 2021
Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques.
Neural Comput. Appl., 2021
Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study.
Neural Comput. Appl., 2021
Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
2020
A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study.
J. Comput. Appl. Math., 2020
Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model.
Int. J. Interact. Multim. Artif. Intell., 2020
A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression.
Comput. Electron. Agric., 2020
A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques.
Neural Comput. Appl., 2019
Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection.
Math. Comput. Simul., 2019
Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques.
J. Comput. Appl. Math., 2019
2018
A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance.
J. Comput. Appl. Math., 2018
2017
A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain).
J. Comput. Appl. Math., 2017
Modeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model tree.
Comput. Electron. Agric., 2017
2016
A New Predictive Model for the State-of-Charge of a High-Power Lithium-Ion Cell Based on a PSO-Optimized Multivariate Adaptive Regression Spline Approach.
IEEE Trans. Veh. Technol., 2016
A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data.
J. Comput. Appl. Math., 2016
A new predictive model for the filtered volume and outlet parameters in micro-irrigation sand filters fed with effluents using the hybrid PSO-SVM-based approach.
Comput. Electron. Agric., 2016
2015
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability.
Reliab. Eng. Syst. Saf., 2015
A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain.
Ecol. Informatics, 2015
A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain.
Appl. Math. Comput., 2015
2014
J. Multiple Valued Log. Soft Comput., 2014
Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions.
Appl. Math. Comput., 2014
2013
Int. J. Comput. Sci. Math., 2013
Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
2012
Stochastic stability and numerical Analysis of Two Novel Algorithms of the PSO Family: pp-Gpso and RR-Gpso.
Int. J. Artif. Intell. Tools, 2012
2011
IEEE Trans. Evol. Comput., 2011
Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques.
Math. Comput. Model., 2011
Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011
2010
Int. J. Appl. Evol. Comput., 2010
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010
Two Algorithms of the Extended PSO Family.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010
Proceedings of the Swarm Intelligence - 7th International Conference, 2010
2009
AMTCLAB: A MATLAB<sup>®</sup>-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media.
Comput. Geosci., 2009