Hurricane Trajectory Prediction via a Sparse Recurrent Neural Network
نویسندگان
چکیده
A proposed sparse recurrent neural network with flexible topology is used for trajectory prediction of the Atlantic hurricanes. For prediction of the future trajectories of a target hurricane, the most similar hurricanes to the target hurricane are found by comparing directions of the hurricanes. Then, the first and second differences of their positions over their life time are used for training the proposed network. Comparison of the obtained predictions with actual trajectories of Sandy and Humberto hurricanes show that our approach is quite promising for this aim.
منابع مشابه
Predicting Hurricane Trajectories using a Recurrent Neural Network
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