Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Ángel M. Pérez-Bellido"'
Autor:
Salcedo-Sanz, Sancho, Ángel M. Pérez-Bellido, Ortiz-García, Emilio G., Portilla-Figueras, Antonio, Prieto, Luis, Paredes, Daniel
Publikováno v:
In Renewable Energy 2009 34(6):1451-1457
Publikováno v:
Expert Systems with Applications. 39:10700-10708
The shortening of the design cycle and the increase of the performance are nowadays the main challenges in aerodynamic design. The use of evolutionary algorithms (EAs) seems to be appropriate in a preliminary phase, due to their ability to broadly ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f76aa26b1d370a14b4520c0ea940fa7
https://doi.org/10.1016/j.eswa.2012.02.197
https://doi.org/10.1016/j.eswa.2012.02.197
Autor:
Javier Del Ser, Sergio Gil-Lopez, José María Cabero, Jose A. Portilla-Figueras, Ángel M. Pérez-Bellido, Sancho Salcedo-Sanz
Publikováno v:
Expert Systems with Applications. 39:11089-11093
In this paper we present the application of a hybrid harmony search (HS) algorithm to the Spread-Spectrum Radar Polyphase (SSRP) codes design. Such a design can be formulated as a non-linear max-min optimization problem, hard to be solved using class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c577b5c280b302e892d2f10a15e23c6
https://doi.org/10.1016/j.eswa.2012.03.063
https://doi.org/10.1016/j.eswa.2012.03.063
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:
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:
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 E. Agust¿n-Blas, Antonio Portilla-Figueras, Emilio G. Ortiz-Garc¿a, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Silvia Jiménez-Fernández
Publikováno v:
Computers & Operations Research. 38:484-495
This paper presents a new model for team formation based on group technology (TFPGT). Specifically, the model is applied as a generalization of the well-known Machine-Part Cell Formation problem, which has become a classical problem in manufacturing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd1cdfcd3e5eae3e60b0288444f6abb9
https://doi.org/10.1016/j.cor.2010.07.006
https://doi.org/10.1016/j.cor.2010.07.006
Publikováno v:
Journal of Atmospheric and Solar-Terrestrial Physics. 72:1333-1340
In this paper we present a novel method for deseasonalizing TOC data using non-linear models, with evolutionary computation techniques, and its performance with a neural network as regression approach. Specifically, the proposed deseasonalization met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::368e57c278450db952d0554b31ac44ed
https://doi.org/10.1016/j.jastp.2010.09.021
https://doi.org/10.1016/j.jastp.2010.09.021
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