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Sea wave height prediction method

A prediction method and advanced technology, applied in biological neural network models, instruments, electrical and digital data processing, etc., can solve the problems of low prediction accuracy of ocean wave height and nonlinearity of ocean wave height, and achieve improved accuracy, strong generalization performance, The effect of improving prediction accuracy

Pending Publication Date: 2021-06-25
SHANGHAI OCEAN UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is how to solve the problem of low prediction accuracy of sea wave height due to nonlinearity and non-stationarity of sea wave height, and provide a method for sea wave height prediction

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Embodiment Construction

[0027] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. A preferred embodiment of the application is shown in the drawings. However, the present application can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of this application more thorough and comprehensive.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terminology used herein in the description of the application is only for the purpose of describing specific embodiments, and is not intended to limit the application. As used herein, the term "and / or" includes any and all combinations of one or more of the assoc...

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Abstract

The invention discloses a sea wave height prediction method. The prediction method comprises the following steps: carrying out VMD decomposition on an original sea wave height data sequence; inputting a plurality of discrete subsequences IMF1, IMF2,..., IMFk obtained through the VMD decomposition into an AM-LSTM model to obtain model prediction results PIMF1, PIMF2,..., PIMFk of the plurality of discrete subsequences; inputting the original sea wave height data into the AM-LSTM model to obtain a model prediction result PIMF of the original sea wave height data sequence; performing reconstruction calculation on the model prediction results PIMF1, PIMF2... PIMFk of the plurality of discrete subsequences and the model prediction result PIMF of the original sea wave height data sequence to obtain a final prediction value of the sea wave height, and evaluating the final prediction value.

Description

technical field [0001] The invention relates to the field of time series prediction, in particular to a method for predicting sea wave height based on variational mode decomposition and attention mechanism. Background technique [0002] Ocean wave is a complex three-dimensional random motion, which is one of the very important dynamic processes in the ocean. Among them, the height of waves is an important factor affecting human activities such as sea operations, coastal residents' lives, and port and wharf construction. Many scholars at home and abroad have conducted in-depth research on the prediction of wave height. The traditional numerical prediction model is based on the energy balance equation, and some traditional numerical wave models are used to predict the height of waves. Performance requirements and time cost requirements are very demanding. The early studies of wave height forecasting used the classic time series model, however, the classic time series model ...

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06F113/08
CPCG06F30/27G06F2113/08G06N3/044Y02A90/10
Inventor 卢鹏年圣全曹阳张娜刘楷贇王振华刘宗生
Owner SHANGHAI OCEAN UNIV
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