A bayesian network riverine model study

Authors:
Steven Spansel;Louise Perkins;Sumanth Yenduri;David Holt
Affiliations:
University of Southern Mississippi, Long Beach, MS;University of Southern Mississippi, Long Beach, MS;University of Southern Mississippi, Long Beach, MS;University of Southern Mississippi, Long Beach, MS
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

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Abstract

In this paper we apply a Bayesian Network Methodology to a riverine model study. We show that continuous variables, following Ebert-Uphoff's method, would improve this model, and we modify an existing share-ware Bayesian Network to simulate continuous variables. We also present a new metric for the Bayesian Network.