Ocean wave height prediction using ensemble of Extreme Learning Machine

Author:

Kumar N. KrishnaORCID,Savitha R.,Al Mamun Abdullah

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference74 articles.

1. Selection of climatic parameters affecting wave height prediction using an enhanced Takagi–Sugeno-based fuzzy methodology;Hashim;Renew. Sustain. Energy Rev.,2016

2. WMO, Guide to Wave Analysis and Forecasting, WMO-No.702, World Meterological Organization.

3. On the generation of waves by a turbulent wind;Philips;J. Fluid Mech.,1957

4. On the generation of surfaces waves by shear flows;Miles;J. Fluid Mech.,1957

5. Measurements of wind–wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP);Hasselmann;Ergnzungsheft Deutsch. Hydrogr. Z. R.,1973

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