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Intelligent and adaptive water level prediction in texas coastal waters
Ray Bachnak
, Carl Steidley
, Alex Sadovski
, Phillipe Tissot
, Zack Bowles
School of Science, Engineering & Technology (Harrisburg)
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Intelligent and adaptive water level prediction in texas coastal waters'. Together they form a unique fingerprint.
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Keyphrases
Texas
100%
Coastal Waters
100%
Ocean Services
100%
Water Level Prediction
100%
Water Level
75%
Artificial Neural Network Model
75%
Harmonic Analysis
50%
Corpus Christi
50%
United States
25%
Modeling Techniques
25%
Historical Records
25%
Artificial Neural Network
25%
Gulf of Mexico
25%
Embayment
25%
Best Predictor
25%
Wind Direction
25%
Wind Speed
25%
Service Use
25%
Coastal Area
25%
Persistence Model
25%
Meteorological Data
25%
Central Frequency
25%
Texas A&M University
25%
Network Database
25%
Barometric Pressure
25%
Texas Coast
25%
Coastal Ocean Observations
25%
Wind Forcing
25%
Neural Network Performance
25%
Method Choice
25%
Ocean Observing Systems
25%
Earth and Planetary Sciences
Coastal Water
100%
Texas
100%
Water Level
100%
Artificial Neural Network
71%
Tide
71%
Harmonics
28%
Time Series
14%
United States of America
14%
Gulf of Mexico
14%
Wind Direction
14%
Wind Velocity
14%
Atmospheric Pressure
14%
Coastal Region
14%
Wind Forcing
14%
Meteorological Data
14%