Wave height forecasting in Dayyer, the Persian Gulf

Ocean Engineering

Volumn 38, Issue 1, 2011, Pages 248-255

  Kamranzad, B ^a   Etemad Shahidi, A ^a   Kazeminezhad, M H ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks; Data learning methods; Persian Gulf; Wave forecasting

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COASTAL OPERATIONS; EFFECTIVE PARAMETERS; INPUT PARAMETER; LEAD TIME; LEARNING METHODS; MODEL INPUTS; PERSIAN GULF; ROBUST DATUM; TIME HORIZONS; WAVE CHARACTERISTICS; WAVE FORECASTING; WAVE HEIGHT FORECASTING; WAVE HEIGHTS; WAVE PARAMETERS; WIND DIRECTIONS; WIND PARAMETERS; WIND SPEED;

FORECASTING; LEARNING SYSTEMS; WATER WAVES;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; HEIGHT DETERMINATION; PARAMETERIZATION; WAVE HEIGHT; WIND DIRECTION; WIND FORCING; WIND VELOCITY;

ARABIAN SEA; INDIAN OCEAN; PERSIAN GULF;

EID: 78651491410     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.oceaneng.2010.10.004     Document Type: Article

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