Seabreeze Prediction Using Bayesian Networks
نویسندگان
چکیده
In this paper we examine the use of Bayesian networks (BNs) for improving weather prediction, applying them to the problem of predicting sea breezes. We compare a pre-existing Bureau of Meteorology rule-based system with an elicited BN and others learned by two data mining programs, TETRAD II Spirtes et al., 1993] and Causal MML Wallace and Korb, 1999]. These Bayesian nets are shown to signiicantly outperform the rule-based system in predictive accuracy.
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