A Recurrent-Cascade-Neural network- nonlinear autoregressive networks with exogenous inputs (NARX) approach for long-term time-series prediction of wave height based on wave characteristics measurements-Reference-Cited by-同舟云学术

A Recurrent-Cascade-Neural network- nonlinear autoregressive networks with exogenous inputs (NARX) approach for long-term time-series prediction of wave height based on wave characteristics measurements

Published:2021-11 Issue: Volume:240 Page:109958
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Miky Yehia^ORCID,Kaloop Mosbeh R.,Elnabwy Mohamed T.^ORCID,Baik Ahmad,Alshouny Ahmed

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference57 articles.

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4. “Chaotic time series prediction with residual analysis method using hybrid elman–NARX neural networks;Ardalani-Farsa;Neurocomputing,2010

5. Numerical and physical diffusion: can wave prediction models resolve directional spread?;Ardhuin;J. Atmos. Ocean. Technol.,2005

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