Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
The Artificial Neural Networks to obtain port planning parameters
Año:2014
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Ingenieria civil,
  • Puertos
Datos
Descripción
This research is focused on neural networks? behavior analysis within the port planning process, in the context of containers terminals, more precisely to study the possible traffic growth and the requirements in terms of equipment and installations. The traffic levels in these terminals and the minimum necessary investment can be thus evaluated with no need or with just a very low new investment. The methodology shows the fundamentals of the Artificial Neural Networks application and the considered sequence to develop the container port terminals planning, supported by the MATLAB code tools. The article reaches finally the conclusion that both the tool and the proposed methodology can be considered as acceptable to perform this kind of planning forecasts and to be used in the future. The results seem to show that the ANN can be used to model port planning issues linked to container terminals, based on historical data series.
Internacional
Si
JCR del ISI
No
Título de la revista
Procedia ¿ Social And Behavioral Sciences
ISSN
1877-0428
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
162
Desde la página
168
Hasta la página
177
Mes
SIN MES
Ranking
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: Transporte y Territorio
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