Application of Artificial Neural Network (ANN) to improve forecasting of sea level

Ocean and Coastal Management

Volumn 55, Issue , 2012, Pages 101-110

  Filippo, Alessandro ^a   Rebelo Torres, Audálio ^b   Kjerfve, Björn ^c,d   Monat, André ^a  

^a STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c WORLD MARITIME UNIVERSITY   (Sweden)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ASTRONOMICAL FORCING; COASTAL AREA; COEFFICIENT OF CORRELATION; DATA GAP; DECISION MAKERS; FFT ANALYSIS; FISCAL RESULTS; FORECASTING TOOLS; INPUT DATAS; LOCAL INFLUENCE; MANAGEMENT ACTIVITIES; MARGIN OF ERROR; METEOROLOGICAL DATA; METEOROLOGICAL VARIABLES; NAVIGATION CHANNELS; OUTPUT DATA; SEA LEVEL VARIABILITY; SEA LEVEL VARIATIONS; TIDAL WATER;

ATMOSPHERIC PRESSURE; COASTAL ZONES; DECISION MAKING; HARMONIC ANALYSIS; INPUT OUTPUT PROGRAMS; METEOROLOGY; NEURAL NETWORKS; SEA LEVEL; TIDES; TIME SERIES; WATER LEVELS; WEATHER FORECASTING;

TIME SERIES ANALYSIS;

ARTIFICIAL NEURAL NETWORK; ASTRONOMY; ATMOSPHERIC PRESSURE; COASTAL ZONE MANAGEMENT; DECISION MAKING; HARMONIC ANALYSIS; HYDROMETEOROLOGY; MARINE POLICY; SEA LEVEL CHANGE; TIME SERIES; WATER LEVEL;

BRAZIL; CANANEIA; SAO PAULO [BRAZIL]; SAO SEBASTIAO;

EID: 82155199438     PISSN: 09645691     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocecoaman.2011.09.007     Document Type: Article

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