2022
DOI: 10.1155/2022/6760944
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Stochastic Simulation of Typhoon in Northwest Pacific Basin Based on Machine Learning

Abstract: Typhoons have caused serious economic losses and casualties in coastal areas all over the world. The big size of the tropical cyclone sample by stochastic simulation can effectively evaluate the typhoon hazard risk, and the typhoon full-track model is the most popular model for typhoon stochastic simulation. Based on the advantages of machine learning in dealing with nonlinear problems, this study uses a backpropagation neural network (BPNN) to replace the regression model in the empirical track model, reestab… Show more

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Cited by 4 publications
(1 citation statement)
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“…DL models exhibit superior performance compared to statistical models (Alemany et al, 2019), but only a few of them are designed for probabilistic predictions. A common approach is to generate TC initial conditions randomly and make deterministic predictions based on these conditions (Fang et al, 2022b), which can be combined with any deterministic model. However, this method does not consider uncertainty along the track.…”
Section: Introductionmentioning
confidence: 99%
“…DL models exhibit superior performance compared to statistical models (Alemany et al, 2019), but only a few of them are designed for probabilistic predictions. A common approach is to generate TC initial conditions randomly and make deterministic predictions based on these conditions (Fang et al, 2022b), which can be combined with any deterministic model. However, this method does not consider uncertainty along the track.…”
Section: Introductionmentioning
confidence: 99%