Modeling Methods for Coastal Environmental Studies

Carl Steidley, Alexey Sadovski, Rafic Bachnak, Kelly Torres

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper deals with the development of a new tool which is an integration of regression and harmonic analysis as well as an artificial neural network model for predicting water levels in the estuaries and shallow waters of the Gulf of Mexico. These tools have been developed, since tide charts, based upon harmonic analysis, do not provide reliable predictions in these waters.

Original languageEnglish (US)
Title of host publication19th International Conference on Computers and Their Applications 2004, CATA 2004
EditorsBidyut Gupta
PublisherThe International Society for Computers and Their Applications (ISCA)
Pages59-64
Number of pages6
ISBN (Electronic)9781618395511
StatePublished - 2004
Event19th International Conference on Computers and Their Applications, CATA 2004 - Seattle, United States
Duration: Mar 18 2004Mar 20 2004

Publication series

Name19th International Conference on Computers and Their Applications 2004, CATA 2004

Conference

Conference19th International Conference on Computers and Their Applications, CATA 2004
Country/TerritoryUnited States
CitySeattle
Period3/18/043/20/04

All Science Journal Classification (ASJC) codes

  • General Computer Science

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