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Showing results 25 to 44 of 59
Issue DateTitleAuthor(s)
2019Modeling algal atypical proliferation using the hybrid DE–MARS–based approach and M5 model tree in La Barca reservoir: A case study in northern SpainGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Alonso Fernández, J. R.; Díaz Muñiz, C.
2017Modeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model treeGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Bové, J.; Arbat Pujolràs, Gerard; Duran Ros, M.; Puig-Bargués, J.
2017Modeling the milling tool wear by using a multilayer perceptron artificial neural network from milling run experimental dataGarcía Nieto, Paulino José; García Gonzalo, María Esperanza
2015Modeling the milling tool wear by using an evolutionary svm-based model from milling runs experimental dataGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Vilán Vilán, José Antonio; Segade Robleda, Abraham
2015Modeling the milling tool wear by using multivariate adaptive regression splinesGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Álvarez Antón, Juan Carlos
2016A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft EnginesGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Bernardo Sánchez, Antonio; Menéndez Fernández, Marta
2015A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental dataGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Vilán Vilán, José Antonio; Segade Robleda, Abraham
2015A 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 SpainGarcía Nieto, Paulino José; Alonso Fernández, José Ramón; García Gonzalo, María Esperanza; Díaz Muñiz, C.; Mayo Bayón, Ricardo; González Suárez, Víctor Manuel
2016A new predictive model for the filtered volume and outlet parameters in micro-irrigation sand filters fed with effluents using the hybrid PSO-SVM-based approachGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Arbat Pujolràs, Gerard; Duran-Ros, M.; Ramírez de Cartagena, F.; Puig-Bargués, J.
Dec-2015A new predictive model for the state-of-charge of a high power lithium-ion cell based on a PSO optimized multivariate adaptive regression splines approachÁlvarez Antón, Juan Carlos; García Nieto, Paulino José; García Gonzalo, María Esperanza; Viera Pérez, Juan Carlos; González Vega, Manuela; Blanco Viejo, Cecilio José
2013Particle swarm optimisation: Time for uniformisationFernández Martínez, Juan Luis; García Gonzalo, María Esperanza
2010Particle swarm optimization and inverse problemsGarcía Gonzalo, María Esperanza; Fernández Martínez, Juan Luis
2011Particle swarm optimization: A powerful family of stochastic optimizers. Analysis, design and application to inverse modellingFernández Martínez, Juan Luis; García Gonzalo, María Esperanza; Saraswathi, Saras; Jernigan, Robert L.; Kloczkowski, Andrzej
2010Particle swarm optimization applied to solving and appraising the streaming-potential inverse problemFernández Martínez, Juan Luis; García Gonzalo, María Esperanza; Naudet, Véronique
2010Particle swarm optimization in high dimensional spacesFernández Martínez, Juan Luis; Mukerji, T.; García Gonzalo, María Esperanza
2008Particle Swarm Optimization (PSO): A simple and powerful algorithm family for geophysical inversionFernández Martínez, Juan Luis; Fernández Álvarez, José Paulino; García Gonzalo, María Esperanza; Menéndez Pérez, César Omar; Kuzma, H. A.
2018PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case studyGarcía Nieto, Paulino José; Sánchez Lasheras, Fernando; García Gonzalo, María Esperanza; Cos Juez, Francisco Javier de
2016Prediction of five softwood paper properties from its density using support vector machine regression techniquesGarcía Gonzalo, María Esperanza; Santos, Antonio J. A.; Martínez Torres, Javier; Pereira, Helena; Simões, Rogerio; García Nieto, Paulino José; Anjos, Ofelia
2018Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approachGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Alonso Fernández, José Ramón; Díaz Muñiz, C.
2018Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniquesGarcía Nieto, Paulino José; García Gonzalo, María Esperanza; Paredes Sánchez, José Pablo; Bernardo Sánchez, Antonio; Menéndez Fernández, M.
Showing results 25 to 44 of 59

 

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