Abstract
The reliability assessment of a system requires knowledge of how the system can fail, failure consequences and modeling, as well as selection of the evaluation technique [4].
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© 2007 Springer-Verlag Berlin Heidelberg
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Rocco S., C.M., Muselli, M. (2007). Network Reliability Assessment through Empirical Models using a Machine Learning Approach. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37372-8_6
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DOI: https://doi.org/10.1007/978-3-540-37372-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37371-1
Online ISBN: 978-3-540-37372-8
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