Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Ricardo García-Ródenas"'
Autor:
José Carlos García-García, Ricardo García-Ródenas, Julio Alberto López-Gómez, José Ángel Martín-Baos
Publikováno v:
Transportation Research Procedia. 62:374-382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91b1779d123fedf2aba6644e51b5894
https://doi.org/10.1016/j.trpro.2022.02.047
https://doi.org/10.1016/j.trpro.2022.02.047
Autor:
José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, María Luz López-García
Publikováno v:
Transportation Research Procedia. 47:457-464
The Kernel Logistic Regression is a popular technique in machine learning. In this work this technique is applied to the field of discrete choice modeling. This approach is equivalent to specifying non-parametric utilities in random utility models. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e6b28c16b81011707942f7d430c87e
https://doi.org/10.1016/j.trpro.2020.03.121
https://doi.org/10.1016/j.trpro.2020.03.121
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Rail operations are often disrupted by accidents that cause traffic to diverge from the scheduled operations, rendering it difficult to run the schedule as planned. In such a case, the operator must change the schedule to return to the original sched
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::316169fe37ec82da605e907c711a423e
https://hdl.handle.net/2117/371321
https://hdl.handle.net/2117/371321
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
Dynamic traffic management (DTM) systems are used to reduce the negative externalities of traffic congestion, such as air pollution in urban areas. They require traffic and environmental monitoring infrastructures. In this paper we present a prototyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b09c823cb0b5aebe9b173c314d8e334
http://hdl.handle.net/10578/30087
http://hdl.handle.net/10578/30087
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Unexpected events may perturb operations and generate conflicts that must be addressed promptly to limit delay propagation and other negative impacts on the network. The real-time railway traffic management problem deals with disruptions in railway n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61509ea9fb7ce4b124229e5dc9f30df0
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
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:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname
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Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
In the last few years, Machin
In the last few years, Machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d438d79718125ab8ed0385b40250a9
http://hdl.handle.net/10259/6862
http://hdl.handle.net/10259/6862
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
The success of machine-learning methods is spreading their use to many different fields. This paper analyses one of these methods, the Kernel Logistic Regression (KLR), from the point of view of Random Utility Model (RUM) and proposes the use of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdebbc10c700534f35742b6e9fcd221f
http://hdl.handle.net/10578/30123
http://hdl.handle.net/10578/30123
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
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
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
The final publication is available at link.springer.com Most parallel surrogate-based optimization algorithms focus only on the mechanisms for generating multiple updating points in each cycle, and rather less attention has been paid to producing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3faa36436978d44f44c2b515a26fb65d
http://hdl.handle.net/2117/345025
http://hdl.handle.net/2117/345025