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Applying generalised feedforward neural networks to classifying industrial jobs in terms of risk of low back disorders

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Applying generalised feedforward neural networks to classifying industrial jobs in terms of risk of low back disorders

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Asensio Cuesta, S.; Diego Más, JA.; Alcaide Marzal, J. (2010). Applying generalised feedforward neural networks to classifying industrial jobs in terms of risk of low back disorders. International Journal of Industrial Ergonomics. 40(6):629-635. doi:10.1016/j.ergon.2010.04.007

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Title: Applying generalised feedforward neural networks to classifying industrial jobs in terms of risk of low back disorders
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria
Issued date:
Abstract:
[EN] This paper describes a new approach for the development of artificial neural networks applied to classifying the risk of low back disorders (LBDs) presented by certain lifting jobs. The development process of neural ...[+]
Subjects: Artificial neural networks , Low back disorders , Assessment of lifting jobs
Copyrigths: Cerrado
Source:
International Journal of Industrial Ergonomics. (issn: 0169-8141 )
DOI: 10.1016/j.ergon.2010.04.007
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ergon.2010.04.007
Thanks:
We would like to thank the Universidad Politécnica de Valencia for its assistance to carry out this research through its Support Programme for Research and Development and its Funding Projects PAID-06-09/2902 and ...[+]
Type: Artículo

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