Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Setting the port planning parameters in container terminals through artificial neural networks
Año:2013
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Ingenieria civil,
  • Puertos marítimos
Datos
Descripción
It has been demonstrated the huge significance of the correct forecast in the transport logistics environment, for an adjusted planning in terms of means and resources, and for its optimisation. Up to now, the port planning process has been based mainly on empirical analytical or simulation models. This paper analyse if the artificial intelligence finds applicability in the port planning field. The study focuses on the scope of an eventual use of artificial neural networks in port planning. The methodology indicates the grounds of the artificial neural networks (ANN) application, as well as the different steps for their use in a container terminal planning process, based on the ANN tools provided by the MATLAB software. The first steps are the analysis of considered data, variables estimation and how to integrate the whole. Model results are then shown and validated. The main result is, however, the possibility to use the neural networks in estimating the number of TEU?s to be operated, based on physical terminal parameters and a correct means assignment.
Internacional
Si
Nombre congreso
Global Virtual Conference GV-CONF 2013
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-80-554-0649-7
DOI
Fecha inicio congreso
08/04/2013
Fecha fin congreso
12/04/2013
Desde la página
637
Hasta la página
642
Título de las actas
Setting the port planning parameters in container terminals through artificial neural networks
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Tomas Rodriguez Garcia (UPM)
  • Autor: Maria Nicoleta Gonzalez Cancelas (UPM)
  • Autor: Francisco Jose Soler Flores (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería Civil: Infraestructura del Transporte
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