A Modular Tide Level Prediction Method Based on a NARX Neural Network

Tide variations are affected not only by periodic movement of celestial bodies but also by time-varying interference from the external environment. To improve the accuracy of tide prediction, a modular tide level prediction model (HA-NARX) is proposed. This model divides tide data into two parts: as...

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Détails bibliographiques
Auteurs principaux: Wenhao Wu, Lianbo Li, Jianchuan Yin, Wenyu Lyu, Wenjun Zhang
Format: article
Langue:EN
Publié: IEEE 2021
Sujets:
WNN
Accès en ligne:https://doaj.org/article/e7e0b7ebc78f418a8388c29d3ac276ba
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