Artificial Intelligence for estimating infragravity energy in a harbour

Ocean Engineering

Volumn 57, Issue , 2013, Pages 56-63

  Lopez M ^a   Iglesias, G ^b  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Artificial Intelligence; Artificial Neural Networks; Harbour resonance; Infragravity waves; Long waves; Seiche

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CROSS-VALIDATION METHODS; EMPIRICAL EXPRESSION; INFRAGRAVITY; INFRAGRAVITY WAVES; LONG WAVES; NW SPAIN; ONE-STEP MODEL; PORT MANAGEMENT; SEICHE; SHORT WAVES; TIDAL LEVEL; TWO-STEP MODEL;

ARTIFICIAL INTELLIGENCE; ESTIMATION; GRAVITY WAVES; NETWORK ARCHITECTURE; NEURAL NETWORKS; WATER WAVES;

PORTS AND HARBORS;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GRAVITY WAVE; HARBOR; OCEAN WAVE; PORT OPERATION; SEICHE; WAVE HEIGHT;

EL FERROL; GALICIA [SPAIN]; LA CORUNA [GALICIA]; SPAIN;

EID: 84867431319     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.oceaneng.2012.08.009     Document Type: Article

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