Significant wave height record extension by neural networks and reanalysis wind data

Author:

Peres D.J.ORCID,Iuppa C.ORCID,Cavallaro L.,Cancelliere A.,Foti E.

Publisher

Elsevier BV

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Computer Science (miscellaneous),Oceanography

Reference90 articles.

1. Wave parameter estimation using neural networks;Agrawal;Mar. Struct.,2004

2. Statistical theory of overtraining - is cross-validation asymptotically effective?;Amari;IEEE Trans. Neural Netw.,1996

3. The reconstruction of significant wave height time series by using a neural network approach;Arena;J. Offshore Mech. Arct. Eng.,2004

4. Neural networks in R using the Stuttgart neural network simulator: RSNNS;Bergmeir;J. Stat. Softw.,2012

5. Wave Mechanics for Ocean Engineering;Boccotti,2000

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