Inés M. Galván
Title
Cited by
Cited by
Year
Redes de neuronas artificiales. Un enfoque práctico
P Isasi, I Galván
Madrid. España, Pearson Educación, SA, 2004
2052004
Redes de neuronas artificiales: un enfoque práctico
PI Viñuela, IMG León
Pearson Prentice Hall, 2003
1162003
AMPSO: a new particle swarm method for nearest neighborhood classification
A Cervantes, IM Galván, P Isasi
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
1122009
The use of neural networks for fitting complex kinetic data
IM Galván, JM Zaldívar, H Hernandez, E Molga
Computers & Chemical Engineering 20 (12), 1451-1465, 1996
801996
Redes de neuronas artificiales
P Isasi Viñuela, IM Galván León
Un Enfoque Práctico, Editorial Pearson Educación SA Madrid España, 2004
792004
Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks
JM Zaldivar, E Gutiérrez, IM Galván, F Strozzi, A Tomasin
Journal of Hydroinformatics 2 (1), 61-84, 2000
752000
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks
IM Galván, JM Valls, A Cervantes, R Aler
Information Sciences 418, 363-382, 2017
522017
Multi-step learning rule for recurrent neural models: an application to time series forecasting
IM Galván, P Isasi
Neural processing letters 13 (2), 115-133, 2001
422001
Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting
R Aler, IM Galván, JA Ruiz-Arias, CA Gueymard
Solar Energy 150, 558-569, 2017
382017
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm
A Cervantes, I Galvan, P Isasi
2005 IEEE Congress on Evolutionary Computation 1, 290-297, 2005
342005
Applying evolution strategies to preprocessing EEG signals for brain–computer interfaces
R Aler, IM Galván, JM Valls
Information Sciences 215, 53-66, 2012
282012
Binary particle swarm optimization in classification
A Cervantes, IM Galván, P Isasi
Institute of Computer Science, Academy of Sciences of the Czech Republic, 2005
252005
Application of recurrent neural networks in batch reactors: Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature
IM Galván, JM Zaldıvar
Chemical Engineering and Processing: Process Intensification 37 (2), 149-161, 1998
251998
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models
R Martin, R Aler, JM Valls, IM Galván
Concurrency and Computation: Practice and Experience 28 (4), 1261-1274, 2016
242016
Application of recurrent neural networks in batch reactors: Part I. NARMA modelling of the dynamic behaviour of the heat transfer fluid temperature
IM Galván, JM Zaldıvar
Chemical Engineering and Processing: Process Intensification 36 (6), 505-518, 1997
221997
Automatic cloud type classification based on the combined use of a sky camera and a ceilometer.
DPV J. Huertas-Tato, F.J. Rodríguez-Benítez, C. Arbizu-Barrena, R. Aler-Mur ...
Journal of Geophysical Research: Atmospher 122 (20), 11045-11061, 2017
20*2017
Time-stamped resampling for robust evolutionary portfolio optimization
S García, D Quintana, IM Galván, P Isasi
Expert Systems with Applications 39 (12), 10722-10730, 2012
202012
The use of neural networks for the identification of kinetic functions of complex reactions
JM Zaldivar, H Hernandez, E Molga, IM Galvan, F Panetsos
Proceedings of the third European symposium on computer aided process …, 1993
201993
A study of machine learning techniques for daily solar energy forecasting using numerical weather models
R Aler, R Martín, JM Valls, IM Galván
Intelligent Distributed Computing VIII, 269-278, 2015
182015
A lazy learning approach for building classification models
IM Galván, JM Valls, M García, P Isasi
International journal of intelligent systems 26 (8), 773-786, 2011
182011
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Articles 1–20