E. García–Gonzalo

发表

Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models

J. Fernández-Martínez, E. García–Gonzalo, E. García-Gonzalo, 2011, IEEE Transactions on Evolutionary Computation.

Estimation of Water Table From Self-potential Data Using Particle Swarm Optimization (PSO)

J. Fernández-Martínez, E. García–Gonzalo, V. Naudet, 2008 .

Particle swarm optimization applied to solving and appraising the streaming-potential inverse problem

J. Fernández-Martínez, E. García–Gonzalo, V. Naudet, 2010 .

Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations

P. J. García-Nieto, E. García–Gonzalo, J. Paredes-Sánchez, 2020, Environmental Science and Pollution Research.

Water eutrophication assessment relied on various machine learning techniques: A case study in the Englishmen Lake (Northern Spain)

P. J. García Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2019, Ecological Modelling.

Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2018, Journal of mathematical biology.

Hybrid PSO–SVM-based method for long-term forecasting of turbidity in the Nalón river basin: A case study in Northern Spain

E. García–Gonzalo, P. Nieto, J. R. A. Fernández, 2014 .

Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines

J. A. Vilán, E. García–Gonzalo, P. Nieto, 2015, Environmental Science and Pollution Research.

Estimation of PM10 concentration from air quality data in the vicinity of a major steelworks site in the metropolitan area of Avilés (Northern Spain) using machine learning techniques

E. García-Gonzalo, P. J. García Nieto, F. J. de Cos Juez, 2018, Stochastic Environmental Research and Risk Assessment.

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study.

P. J. García Nieto, F. J. de Cos Juez, F. J. D. C. Juez, 2018, The Science of the total environment.

Modeling algal atypical proliferation using the hybrid DE–MARS–based approach and M5 model tree in La Barca reservoir: A case study in northern Spain

E. García-Gonzalo, P. J. García-Nieto, E. García–Gonzalo, 2019, Ecological Engineering.

Predictive model of gas consumption and air emissions of a lime kiln in a kraft process using the ABC/MARS-based technique

P. J. García Nieto, E. García–Gonzalo, J. C. Álvarez Antón, 2018, The International Journal of Advanced Manufacturing Technology.

Using evolutionary multivariate adaptive regression splines approach to evaluate the eutrophication in the Pozón de la Dolores lake (Northern Spain)

C. Díaz Muñiz, E. García-Gonzalo, P. J. García-Nieto, 2016 .

Detection of outliers in pollutant emissions from the Soto de Ribera coal-fired power plant using functional data analysis: a case study in northern Spain

P. J. García-Nieto, E. García–Gonzalo, C. Ordóñez-Galán, 2018, Environmental Science and Pollution Research.

Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study

P. J. García Nieto, F. J. de Cos Juez, E. García–Gonzalo, 2018, Environmental Science and Pollution Research.

Prediction of outlet dissolved oxygen in micro-irrigation sand media filters using a Gaussian process regression

P. J. García-Nieto, E. García–Gonzalo, J. Puig-Bargués, 2020, Biosystems Engineering.

Modeling eutrophication risks in Tanes reservoir by using a hybrid WOA optimized SVR-relied technique along with feature selection based on the MARS approximation

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2021, Stochastic Environmental Research and Risk Assessment.

A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2020, Water Resources Management.

The PSO algorithm to solve this inverse problem is as follows : 1

G. Mariéthoz, T. Mukerji, Z. Fernández-Muñiz, 2010 .

A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

P. J. García-Nieto, J. A. Vilán Vilán, E. García–Gonzalo, 2015, The International Journal of Advanced Manufacturing Technology.

Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2017, Journal of Mathematical Biology.

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

P. J. García-Nieto, E. García–Gonzalo, J. A. Alonso Fernández, 2021, Neural Computing and Applications.

Predictive model of gas consumption and air emissions of a lime kiln in a kraft process using the ABC/MARS-based technique

P. J. García Nieto, E. García–Gonzalo, J. C. Álvarez Antón, 2018, The International Journal of Advanced Manufacturing Technology.

A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

J. A. Vilán, P. J. García-Nieto, E. García-Gonzalo, 2016 .

Forecast of the higher heating value based on proximate analysis by using support vector machines and multilayer perceptron in bioenergy resources

P. J. García Nieto, E. García–Gonzalo, J. Paredes-Sánchez, 2021, Fuel.

Pressure drop modelling in sand filters in micro-irrigation using gradient boosted regression trees

P. J. García Nieto, Gerard Arbat, Jaume Puig-Bargués, 2018, Biosystems Engineering.

Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques

Esperanza García Gonzalo, P. J. García-Nieto, P. J. García Nieto, 2021, Neural Computing and Applications.

Prediction of Five Softwood Paper Properties from its Density using Support Vector Machine Regression Techniques

E. García-Gonzalo, Helena Pereira, Rogério Simões, 2016 .

A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines

Antonio Bernardo Sánchez, Paulino José García Nieto, E. García-Gonzalo, 2016 .

Hybrid ABC Optimized MARS-Based Modeling of the Milling Tool Wear from Milling Run Experimental Data

P. J. García Nieto, Esperanza García-Gonzalo, Paulino José García Nieto, 2016, Materials.

A Brief Historical Review of Particle Swarm Optimization (PSO)

Juan Luis Fernández-Martínez, E. García-Gonzalo, J. Fernández-Martínez, 2012 .

P-487 A family of particle swarm optimizers for reservoir characterization and seismic history matching

T. Mukerji, J. Fernández-Martínez, E. García–Gonzalo, 2012 .

What Makes Particle Swarm Optimization a Very Interesting and Powerful Algorithm

J. Fernández-Martínez, E. García–Gonzalo, 2011 .

Theoretical analysis of particle swarm trajectories through a mechanical analogy

Juan Luis Fernández-Martínez, E. García-Gonzalo, J. P. Fernández‐Alvarez, 2008 .

swarm optimization applied to solving and ppraising the streaming-potential inverse problem uan

E. García–Gonzalo, V. Naudet, Luis F. Fernández-Martínez, 2010 .

Hard-Rock Stability Analysis for Span Design in Entry-Type Excavations with Learning Classifiers

P. J. García Nieto, Zulima Fernández-Muñiz, Esperanza García-Gonzalo, 2016, Materials.

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.

Impact of Surgical Rejuvenation on Visual Processing and Character Attribution of Periorbital Aging

U. Bite, E. García–Gonzalo, Amjed Abu-Ghname, 2022, Plastic and reconstructive surgery.

Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques

P. J. García-Nieto, E. García–Gonzalo, J. Paredes-Sánchez, 2023, Environmental Science and Pollution Research.

Air Quality Modeling Using the PSO-SVM-Based Approach, MLP Neural Network, and M5 Model Tree in the Metropolitan Area of Oviedo (Northern Spain)

E. García-Gonzalo, P. J. García Nieto, A. Bernardo Sánchez, 2018, Environmental Modeling & Assessment.

Sulfatase 2 Is Associated with Steroid Resistance in Childhood Nephrotic Syndrome

S. Agrawal, W. Sadee, A. Kloczkowski, 2021, Journal of clinical medicine.