E. G. Gonzalo

发表

The generalized PSO: a new door to PSO evolution

J. F. Martínez, E. G. Gonzalo, 2008 .

Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques

Esperanza García Gonzalo, Tapan Mukerji, Zulima Fernández-Muñiz, 2011, Math. Comput. Model..

PSO: A powerful algorithm to solve geophysical inverse problems: Application to a 1D-DC resistivity case

Esperanza García Gonzalo, Juan Luis Fernández Martínez, José P. Fernández Alvarez, 2010 .

Hybrid PSO–MARS–based model for forecasting a successful growth cycle of the Spirulina platensis from experimental data in open raceway ponds

P. J. García Nieto, C. Díaz Muñiz, E. G. Gonzalo, 2015 .

Reservoir characterization and inversion uncertainty via a family of particle swarm optimizers

Esperanza García Gonzalo, Tapan Mukerji, Amit Suman, 2012 .

Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study

P. J. García Nieto, Esperanza García Gonzalo, José Ramón Alonso Fernández, 2021, Neural Comput. Appl..

Universal Applicability of the Furlow Palatoplasty: Resident as Primary Surgeon in a Consecutive, Nonselective Series

E. G. Gonzalo, M. Stotland, Thanapoom M. Boonipat, 2017, Annals of plastic surgery.

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

P. J. García Nieto, Esperanza García Gonzalo, M. Duran-Ros, 2017, Comput. Electron. Agric..

A new predictive model for the state-of-charge of a high power lithium-ion cell based on a PSO optimized multivariate adaptive regression splines approach

Esperanza García Gonzalo, Cecilio Blanco Viejo, P. J. García Nieto, 2015 .

Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

P. J. García Nieto, Esperanza García Gonzalo, Francisco Javier de Cos Juez, 2015, Reliab. Eng. Syst. Saf..

The PSO family: deduction, stochastic analysis and comparison

Esperanza García Gonzalo, Juan Luis Fernández Martínez, E. G. Gonzalo, 2009, Swarm Intelligence.

Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling

Esperanza García Gonzalo, Andrzej Kloczkowski, Robert L. Jernigan, 2011, ICSI.

Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models

E. G. Gonzalo, J. Martínez, 2011, IEEE Trans. Evol. Comput..

Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques

Esperanza García Gonzalo, Tapan Mukerji, Zulima Fernández-Muñiz, 2010, Int. J. Appl. Evol. Comput..

A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2016, J. Comput. Appl. Math..

AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media

J. L. Fernández Martı́nez, L. M. Pedruelo González, E. Garcı́a Gonzalo, 2009, Comput. Geosci..

Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2019, Math. Comput. Simul..

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

P. J. García Nieto, J. R. Alonso Fernández, Víctor M. González Suárez, 2015, Appl. Math. Comput..

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2020, J. Comput. Appl. Math..

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance

P. J. García Nieto, Víctor M. González Suárez, Esperanza García Gonzalo, 2018, J. Comput. Appl. Math..

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines

P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, 2020, SOCO.

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques

E. García-Gonzalo, P. J. García Nieto, J. P. Paredes-Sánchez, 2018, Neural Computing and Applications.

Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques

P. J. García Nieto, Esperanza García Gonzalo, J. P. Paredes-Sánchez, 2019, J. Comput. Appl. Math..

Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques

E. G. Gonzalo, C. B. Viejo, M. G. Vega, 2023, Journal of Computational and Applied Mathematics.

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

P. J. García Nieto, J. R. Alonso Fernández, Víctor M. González Suárez, 2015, Ecol. Informatics.

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

P. J. García Nieto, Esperanza García Gonzalo, M. Duran-Ros, 2016, Comput. Electron. Agric..

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)

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2017, J. Comput. Appl. Math..

Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

E. G. Gonzalo, P. G. Nieto, Laura Álvarez de Prado, 2024, Alexandria Engineering Journal.