Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Luis Jiménez-Linares"'
Autor:
Sergio Martínez-Municio, Luis Rodríguez-Benítez, Ester Castillo-Herrera, Juan Giralt-Muiña, Luis Jiménez-Linares
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 12, Iss 1 (2018)
Thanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, signif
Externí odkaz:
https://doaj.org/article/8c90fc0f997f4e10b7ac06b454858486
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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Metaheuristic optimization algorithms address two main tasks in the process of problem solving: i) exploration (also called diversification) and ii) exploitation (also called intensification). Guaranteeing a trade-off between these operations is crit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b782cc832aa38025967fd13277468f03
https://doi.org/10.1016/j.asoc.2019.03.011
https://doi.org/10.1016/j.asoc.2019.03.011
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
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The backpropagation (BP) algorithm is a gradient-based algorithm used for training a feedforward neural network (FNN). Despite the fact that BP is still used today when FNNs are trained, it has some disadvantages, including the following: (i) it fail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00b7c60d0be8edc52e06f470ea9b4db
http://hdl.handle.net/10578/30105
http://hdl.handle.net/10578/30105
Autor:
Julio Alberto López-Gómez, María Luz López-García, Luis Jiménez Linares, Ricardo García-Ródenas
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
A wide taxonomy of the adopted design criterion in models for Train Timetabling Problem (TTP), considers two kinds of models: operations-centric models, which are focused on railway operations and assume the demand has been considered and modeled in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e0e305f1b1cb4c2fe257ee6c493ac1
http://hdl.handle.net/10578/23838
http://hdl.handle.net/10578/23838
Publikováno v:
CEC
In the last few years, hybridization has spread as an effective technique to solve hard optimization problems where metaheuristics algorithms have been unable to find global optima in a computational cost given. In this article, we propose the so-cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31553fa5a27da2f41d9ba25c6229d0a5
https://doi.org/10.1109/cec.2017.7969396
https://doi.org/10.1109/cec.2017.7969396
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2017 ISBN: 9783319686110
ICANN (2)
ICANN (2)
Deep learning has arisen in the last years as a powerful and ultimate tool for machine learning problems. This article analyses the performance of classic and deep neural network models in a challenging problem like face recognition. The aim of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d95deb4007508ff0cb55763eca23e52
https://doi.org/10.1007/978-3-319-68612-7_68
https://doi.org/10.1007/978-3-319-68612-7_68
Autor:
Luis Jiménez Linares, Juan Moreno García, Luis Rodriguez Benitez, Juan Giralt Muina, Ester Castillo Herrera
Publikováno v:
ISKE
The induction of classifiers by means of supervised learning techniques is one of the most common and extended applications in the field of the intelligent systems. Multi-classifier systems obtain a set of basic classifiers and uses it to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22a4e173c5f7a2e1bc2c15eb03d8b07
https://doi.org/10.1109/iske.2015.41
https://doi.org/10.1109/iske.2015.41
Publikováno v:
EUSFLAT Conf.
The aim of this paper is to present a method of obtaining a linguistic model that reflects the behavior of a combined well-known data. The method is based on the technique of successive division of the input space as CART (Classification and Regressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be331bcf8cc31b7918ba2566daf61258
https://doi.org/10.1016/j.fss.2003.11.007
https://doi.org/10.1016/j.fss.2003.11.007
Autor:
Luis Jiménez Linares
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642309465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc7d4eb0bea4e1e7e6b3dd9724c5e521
https://doi.org/10.1007/978-3-642-30947-2
https://doi.org/10.1007/978-3-642-30947-2
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642140570
IPMU (2)
IPMU (2)
This paper focuses on the detection of olive trees in Very High Resolution images. The presented methodology makes use of machine learning to solve the problem. More concretely, we use the K-Means clustering algorithm to detect the olive trees. K-Mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a384ed74d86820903581c009a67eee37
https://doi.org/10.1007/978-3-642-14058-7_3
https://doi.org/10.1007/978-3-642-14058-7_3