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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Autores principales:	Wenhao Wu, Lianbo Li, Jianchuan Yin, Wenyu Lyu, Wenjun Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	GA-BP neural network harmonic analysis WNN modular prediction NARX neural network tide prediction Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/e7e0b7ebc78f418a8388c29d3ac276ba
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A Modular Tide Level Prediction Method Based on a NARX Neural Network

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