Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Emilio G. Ortiz-García"'
Autor:
Ángel M. Pérez-Bellido, Silvia Jiménez-Fernández, Jose A. Portilla-Figueras, Sancho Salcedo-Sanz, Emilio G. Ortiz-García
Publikováno v:
Applied Soft Computing. 12:2425-2434
This paper presents a hybrid evolutionary programming approach to solve the worst case tolerance design problem (WCTDP) in magnetic devices. The hybrid algorithm is formed by a basic evolutionary programming approach, mixed with a gradient-guided loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::507c8d1446794e03ad5bd05bc210b9ee
https://doi.org/10.1016/j.asoc.2012.03.048
https://doi.org/10.1016/j.asoc.2012.03.048
Autor:
Sancho Salcedo-Sanz, J. Acevedo-Rodrıguez, Jose A. Portilla-Figueras, Emilio G. Ortiz-García, J. Gascón-Moreno
Publikováno v:
Expert Systems with Applications. 39:8220-8227
The selection of hyper-parameters in support vector regression algorithms (SVMr) is an essential process in the training of these learning machines. Unfortunately, there is not an exact method to obtain the optimal values of SVMr hyper-parameters. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eba9fbf6a8fb45410ef80e1c8fa5e78
https://doi.org/10.1016/j.eswa.2012.01.142
https://doi.org/10.1016/j.eswa.2012.01.142
Autor:
Emilio G. Ortiz-García, A. Paniagua-Tineo, C. Casanova-Mateo, Sancho Salcedo-Sanz, Jose A. Portilla-Figueras
Publikováno v:
Atmospheric Research. 107:1-8
In this paper we present a novel system for addressing problems of local very short term (up to a time prediction horizon of 6 h) temperature prediction based on Support Vector Regression algorithms (SVMr). Specifically, we construct SVMr banks based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6747d595c852a108b1730b6cd80bc3b
https://doi.org/10.1016/j.atmosres.2011.10.013
https://doi.org/10.1016/j.atmosres.2011.10.013
Autor:
Sancho Salcedo-Sanz, E. Hernández-Martín, Emilio G. Ortiz-García, A. Paniagua-Tineo, M.A. Cony, C. Casanova-Mateo
Publikováno v:
Renewable Energy. 36:3054-3060
Daily maximum temperature can be used a good indicator of peak energy consumption, since it can be used to predict the massive use of heating or air conditioning systems. Thus, the prediction of daily maximum temperature is an important problem with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10924d3a38ae5909f1063b42bd47c1f6
https://doi.org/10.1016/j.renene.2011.03.030
https://doi.org/10.1016/j.renene.2011.03.030
Autor:
Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Luis Prieto, Sancho Salcedo-Sanz, Emilio G. Ortiz-García
Publikováno v:
Expert Systems with Applications. 38:4052-4057
Hyper-parameters estimation in regression Support Vector Machines (SVMr) is one of the main problems in the application of this type of algorithms to learning problems. This is a hot topic in which very recent approaches have shown very good results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e066bc55f9f24839778b33402590d8
https://doi.org/10.1016/j.eswa.2010.09.067
https://doi.org/10.1016/j.eswa.2010.09.067
Autor:
Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, E. Hernández-Martín, Emilio G. Ortiz-García, Sancho Salcedo-Sanz, J. L. Camacho
Publikováno v:
Neurocomputing. 74:1492-1496
In this letter we propose a class of neural network banks to improve the performance of average total ozone in column (TOC) prediction, using real satellite data over the Iberian Peninsula. The proposed neural network banks exploit the possibility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04df92846642fce32c0de72cc6c1913d
https://doi.org/10.1016/j.neucom.2011.01.003
https://doi.org/10.1016/j.neucom.2011.01.003
Autor:
Luis Prieto, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Emilio G. Ortiz-García, César Hervás-Martínez
Publikováno v:
Neural Computing and Applications. 21:993-1005
Combinations of physical and statistical wind speed forecasting models are frequently used in wind speed prediction problems arising in wind farms management. Artificial neural networks can be used in these models as a final step to obtain accurate w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7126362eeefb55b007b0f410c2f3b7
https://doi.org/10.1007/s00521-011-0582-x
https://doi.org/10.1007/s00521-011-0582-x
Autor:
Jose A. Portilla-Figueras, Luis Prieto, J. Gascón-Moreno, Emilio G. Ortiz-García, Ángel M. Pérez-Bellido, Sancho Salcedo-Sanz
Publikováno v:
Wind Energy. 14:193-207
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25334f04f039ca57f2a33ca085664848
https://doi.org/10.1002/we.411
https://doi.org/10.1002/we.411
Autor:
Luis Prieto, Ángel M. Pérez-Bellido, Emilio G. Ortiz-García, Sancho Salcedo-Sanz, Jose A. Portilla-Figueras
Publikováno v:
Atmospheric Environment. 44:4481-4488
In this paper we present an application of the Support Vector Regression algorithm (SVMr) to the prediction of hourly ozone values in Madrid urban area. In order to improve the training capacity of SVMrs, we have used a recently proposed approach, ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f10796505236682ccd3e08e197df9965
https://doi.org/10.1016/j.atmosenv.2010.07.024
https://doi.org/10.1016/j.atmosenv.2010.07.024
Publikováno v:
Integrated Computer-Aided Engineering. 17:261-269
Color reduction in images is an important problem in image processing, since it is a pre-processing step in applications such as image segmentation or compression. Different methods have been proposed in the literature, several of them involving natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4daf33f2885c7a03444ae99775505fbc
https://doi.org/10.3233/ica-2010-0343
https://doi.org/10.3233/ica-2010-0343