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Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks
Publisher: American Society of Civil Engineers
Abstract: The Bayesian network (BN) is a useful tool for the modeling and reliability assessment of civil infrastructure systems. For a system comprising many interconnected components, it captures the probabilistic dependencies ...
Probability Propagation Method for Reliability Assessment of Acyclic Directed Networks
Publisher: American Society of Civil Engineers
Abstract: Many civil infrastructure systems that deliver resources from source points to sinks, e.g., power distribution and gas pipeline networks, can be described as acyclic directed networks comprising nodes and links. ...
Time-Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach
Publisher: ASCE
Abstract: Characteristics at nodes in a network, such as values of demand, evolve over time. To make time-dependent decisions for a network, making time series predictions at each node in the network over time is often necessary. ...