Abstract
Development of an effective and reliable tools for modeling the environmental systems of the Gulf of Mexico and the involvement of undergraduate students in funded interdisciplinary research are discussed. Different schemes used for the prediction of water levels include harmonic analysis, multivariate statistical models, and artificial neural networks (ANN). Three different statistical models were used for the 'next-hour' predictions of levels of water, and speed and directions of wind. The ANN model capture captures a large fraction of the water anomaly and improves significantly on tide tables.
Original language | English (US) |
---|---|
Title of host publication | 2005 ASEE Annual Conference and Exposition, Conference Proceedings |
Pages | 9051-9061 |
Number of pages | 11 |
State | Published - 2005 |
Event | 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World - Portland, OR, United States Duration: Jun 12 2005 → Jun 15 2005 |
Other
Other | 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World |
---|---|
Country/Territory | United States |
City | Portland, OR |
Period | 6/12/05 → 6/15/05 |
All Science Journal Classification (ASJC) codes
- Engineering(all)