On the use of Bayesian networks as a meta-modelling approach to analyse uncertainties in slope stability analysis

@article{Crdenas2018OnTU,
  title={On the use of Bayesian networks as a meta-modelling approach to analyse uncertainties in slope stability analysis},
  author={Ibsen Chivat{\'a} C{\'a}rdenas},
  journal={Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards},
  year={2018},
  volume={13},
  pages={53 - 65}
}
  • Ibsen Chivatá Cárdenas
  • Published 12 July 2018
  • Computer Science
  • Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
ABSTRACT In this paper, we report on the use of Bayesian networks, BNs, learnt from data generated by physical and numerical models, to overcome to a certain degree a number of complications in traditional slope stability analyses that jointly consider the mechanical and hydraulic properties of soils. Discrete Bayesian networks resulted to be useful and efficient to acquire knowledge from simulated data and to identify significant factors by the combined use of backward inference and global… 
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