Abstract
This article makes use of a new management concept, Engine Resource Management (ERM). We researched the prediction of the unsafe events caused by human factors on the basis of the analysis of human factors in engine room. To reduce input samples the principal component analysis was led into computation before using BP artificial neural network to establish model. After the training and establishing model, insecurity events could be predicted at last.
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References
Fang, Q.: Bridge Resource Management. People’s Transportation Press, Beijing (2006)
Lv, X.: Prediction of Unsafe Airlines Incident. China Civil Aviation University, Tianjin (2008)
Zhan, Y., Zhan, X.: Chief Engineer Business. People’s Transportation Press, Beijing (2007)
Zou, J., Hu, Y.: Analysis of Human Errors in Shipping Damage Accidents. Academic Journal of Shanghai Maritime University (2003)
Yang, Z.: Studies on Human Errors and Accident Analysis and Countermeasures in ERM. Shanghai Maritime University, Shanghai (2009)
Pan, X., Liu, F., Wang, Y.: Venture Capital Project Evaluation Model Based on Principal Component Analysis. Technology Progress and Policy, 65–67 (2004)
Neural Network Toolbox User’s Guide, The Mathworks (1994)
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhan, Y., Wu, D., Hao, Y., Yu, Y. (2011). Studies on Prediction of Unsafe Events Caused by Human Factors in ERM. In: Dai, M. (eds) Innovative Computing and Information. ICCIC 2011. Communications in Computer and Information Science, vol 232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23998-4_22
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DOI: https://doi.org/10.1007/978-3-642-23998-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23997-7
Online ISBN: 978-3-642-23998-4
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