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Uncertainty analysis in the prediction of human operator violation using neural networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Zhihao Vanderhaegen, Frédéric Millot, Patrick |
| Copyright Year | 2003 |
| Abstract | This paper contributes to the analysis and the prediction by the Artificial Neural Networks (ANN), taking into account uncertainty, of the deviated intentional behaviours of the human operators in the Humanmachine systems. This type of behaviours is a particular violation called Barrier Removal. The objective of our work is to propose a predictive approach of the Barrier Removal by considering a multi-reference, multi-factor and multi-criteria based evaluation. Human operator’s evaluation can be uncertain. Uncertainty on their subjective judgements is integrated in the prediction of the Barrier Removal. We then validate the proposed approach by a railway application within the framework of a European project Urban Guided Transport Management System (UGTMS). Key-Words: Artificial neural networks, prediction, uncertainty, human-machine system, human reliability, violation, barrier removal. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Patrick_Millot/publication/239582910_Uncertainty_analysis_in_the_prediction_of_human_operator_violation_using_neural_networks/links/544f9f7f0cf2bca5ce92aaa2.pdf |
| Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/athens2003/papers/465-207.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
