Mar 1, 2013 · In order to monitor dam safety condition better, a Dynamic Bayesian Networks (DBN) model is developed to overcome the shortcomings of the ...
In order to monitor dam safety condition better, a Dynamic Bayesian Networks (DBN) model is developed to overcome the shortcomings of the ordinary ...
ABSTRACT—In order to monitor dam safety condition better, a Dynamic Bayesian. Networks (DBN) model is developed to overcome the shortcomings of the ordinary.
A Dynamic Bayesian Networks (DBN) model is developed to overcome the shortcomings of the ordinary monitoring methods and better effect has been achieved in ...
Our study highlights that the integration of ML algorithms and DK is an effective approach for developing reliable BN models for dam risk analysis.
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An improved probabilistic risk analysis method for the dam–foundation system using Bayesian network (BN) and Monte Carlo simulation is proposed in this study.
This paper proposes a dam deformation prediction model based on a multi-scale adaptive kernel ensemble.
In this paper, a continuous-time Markov chain (CTMC) is coupled with a BN model to enable the dynamic assessment of dam failure risk.
Multi-Scale Model Of Dam Safety Condition Monitoring Based On Dynamic Bayesian Networks. Article. Jan 2012. Fang Weihua · Xu Lanyu. In order to monitor dam ...
Weihua Fang (2012), "Multi-Scale Model Of Dam Safety Condition Monitoring Based On Dynamic Bayesian Networks" in Intelligent Automation & Soft Computing, v.