Deep learning-based storm surge water increase prediction method and system

The invention discloses a storm surge water increase prediction method and system based on deep learning, and the method comprises the steps: obtaining a storm surge data set which comprises a plurality of typhoon storm surge data files, and each typhoon storm surge data file comprises typhoon infor...

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Bibliographic Details
Main Authors CHEN LINLU, HE ZHIGANG, SHANG SHAOPING, XIE YANSHUANG, WEI GUOMEI
Format Patent
LanguageChinese
English
Published 21.07.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention discloses a storm surge water increase prediction method and system based on deep learning, and the method comprises the steps: obtaining a storm surge data set which comprises a plurality of typhoon storm surge data files, and each typhoon storm surge data file comprises typhoon information and storm surge water increase information corresponding to each moment; performing data preprocessing on the typhoon information and the storm surge water increase information corresponding to each moment to obtain a preprocessed storm surge data set; obtaining a current moment and a moment needing to be forecasted in advance, and taking the typhoon information corresponding to each moment from the current moment to the moment needing to be forecasted in advance and the storm surge water increase information at the moment needing to be forecasted in advance as a time sequence so as to construct a time sequence data set; and constructing a storm surge water increase prediction model, and inputting the time s
Bibliography:Application Number: CN202310279148