Performance of artificial neural networks in nearshore wave power prediction

Applied Soft Computing Journal

Volumn 23, Issue , 2014, Pages 194-201

  Castro, A ^a   Carballo, R ^a   Iglesias, G ^b   Rabunal J R ^c  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

^c UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Artificial intelligence; Neural network; Numerical model; SWAN; Wave energy; Wave propagation

Indexed keywords

ARTIFICIAL INTELLIGENCE; NETWORK ARCHITECTURE; NEURAL NETWORKS; NUMERICAL MODELS; WAVE ENERGY CONVERSION; WAVE POWER; WAVE PROPAGATION;

IN-SITU MEASUREMENT; NEAR-SHORE WAVES; POWER PREDICTIONS; SPECTRAL MODELING; SWAN; WAVE ENERGY; WAVE ENERGY ASSESSMENTS; WAVE ENERGY POTENTIAL;

COASTAL ENGINEERING;

EID: 84904214689     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.06.031     Document Type: Article

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