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An artificial neural network model as a preliminary track design tool

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An artificial neural network model as a preliminary track design tool

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Montalban Domingo, ML.; Fernández-Villa, JA.; Masanet Sendra, C.; Real Herráiz, JI. (2015). An artificial neural network model as a preliminary track design tool. Proceedings of the Institution of Mechanical Engineers Part F-Journal of Rail and Rapid Transit. 230(4):1105-1117. doi:10.1177/0954409715576366

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/76523

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Title: An artificial neural network model as a preliminary track design tool
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports
Issued date:
Abstract:
The formula derived from Zimmermann s theory is commonly used in railway track design. However, this formula depends on variables such as the ballast coefficient, which are difficult to determine. In recent years, numerical ...[+]
Subjects: Railways , Track design , Railway track , Research and development , Vertical stiffness
Copyrigths: Cerrado
Source:
Proceedings of the Institution of Mechanical Engineers Part F-Journal of Rail and Rapid Transit. (issn: 0954-4097 )
DOI: 10.1177/0954409715576366
Publisher:
SAGE PUBLICATIONS LTD
Type: Artículo

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