Back to Results
First PageMeta Content
Physical geography / Water / Water pollution / Geophysics / Physical oceanography / Tide / Clean Water Act / Estuary / Broad River / Earth / Hydrology / Geodesy


National TMDL Science and Policy 2003 Specialty Conference DEVELOPMENT OF AN EMPIRICAL MODEL OF A COMPLEX, TIDALLY AFFECTED RIVER USING ARTIFICIAL NEURAL NETWORKS Paul A. Conrads*, Edwin A. Roehl, William B. Martello
Add to Reading List

Document Date: 2014-01-16 13:37:44


Open Document

File Size: 2,09 MB

Share Result on Facebook

City

Hydrologist / /

Country

Jordan / Columbia / /

Event

Product Issues / Natural Disaster / /

Facility

Shell Point Plant / Marine Corps Air Station / Specialty Conference DEVELOPMENT OF AN EMPIRICAL MODEL OF A COMPLEX / USGS station / Port Royal / Port Royal Sound / /

IndustryTerm

data mining techniques / data mining offer opportunities / estuarine systems / real-time gaging network / real-time gaging stations / spreadsheet applications / genetic algorithms / coastal systems / Data mining / real-time network data / artificial neural network / empirical model using data mining techniques / signal processing / artificial neural networks / satellite telemetry / real-time gages / /

NaturalFeature

Parris Island / Cooper River / Coosaw River / Battery creek / Brickyard Creek / Broad River / Savannah River estuaries / Albergottie Creek / Beaufort River / /

Organization

Water Environment Federation / Environmental Control / USGS Office in Columbia / Department of Defense / Department of Health / Beaufort-Jasper Water and Sewer Authority / United States Marine Corps / /

Person

William B. Martello / Edwin A. Roehl / Paul A. Conrads / /

Product

waters / /

ProvinceOrState

South Carolina / Oregon / /

Region

western Oregon / /

Technology

wastewater treatment / neural network / artificial intelligence / data mining / machine learning / simulation / /

SocialTag