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PREDICTING THE OCEAN CURRENTS USING DEEP LEARNING
C. Bayindir
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Corresponding author for this work
Department of Civil Engineering
Bogazici University
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Keyphrases
Deep Learning
100%
Ocean Currents
100%
Long Short-term Memory
50%
Training Data
25%
Deep Learning Network
25%
Prediction Time
25%
Prediction Error
25%
Spatial Resolution
25%
Energy Variation
25%
Spectral Properties
25%
Current Velocity
25%
Marine Structures
25%
Induced Current
25%
Induced Vibration
25%
Wave Blocking
25%
Tidal Energy
25%
Massachusetts Bay
25%
Oceanic Circulation
25%
Training Effect
25%
Engineering
Deep Learning Method
100%
Long Short-Term Memory
66%
Prediction Error
33%
Spatial Resolution
33%
Current Speed
33%
Induced Vibration
33%
Ocean Structures
33%
Horizontal Direction
33%
Blocking Point
33%
Tidal Energy
33%
Earth and Planetary Sciences
Ocean Current
100%
Atmospherics
25%
Oceanic Circulation
25%
Spatial Resolution
25%
Tidal Energy
25%