C. D. Muñiz

发表

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 .

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 .

Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)

F. J. D. C. Juez, F. Lasheras, P. Nieto, 2013 .

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 .

Modeling eutrophication and risk prevention in a reservoir in the Northwest of Spain by using multivariate adaptive regression splines analysis

P. Nieto, J. R. A. Fernández, C. D. Muñiz, 2014 .

Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique

P. J. García Nieto, C. Díaz Muñiz, F. J. de Cos Juez, 2013 .

Analysis and detection of outliers in water quality parameters from different automated monitoring stations in the Miño river basin (NW Spain)

P. J. García Nieto, C. Díaz Muñiz, P. Nieto, 2013 .

Modelling algal abnormal proliferation in a reservoir using support vector regression: a case study

P. Nieto, J. R. A. Fernández, C. D. Muñiz, 2015 .

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..

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..

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..

Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2013 .

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.

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

C. D. Muñiz, J. R. A. Fernández, E. García-Gonzalo, 2017, Journal of Mathematical Biology.

Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain

P. J. García Nieto, C. Iglesias, J. Taboada, 2013, Water Resources Management.

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.

Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir ( Northern Spain )

P. J. García Nieto, F. J. de Cos Juez, F. J. D. C. Juez, 2013 .

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..