Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool

Journal of Hydrology

Volumn 373, Issue 1-2, 2009, Pages 34-43

  Besaw, Lance E ^a   Rizzo, Donna M ^a   Kline, Michael ^b   Underwood, Kristen L ^c   Doris, Jeffrey J ^d   Morrissey, Leslie A ^e   Pelletier, Keith ^e  

^a University of Vermont ^*  (United States)

^b Vermont Agency of Natural Resources   (United States)

^c South Mountain Research and Consulting   (United States)

^d Sanborn   (United States)

^e UNIVERSITY OF VERMONT   (United States)

Author keywords

Artificial neural networks; Channel instability; Counterpropagation; Geomorphology; Kohonen self organizing maps; Stream classification

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CHANNEL INSTABILITY; COUNTERPROPAGATION; KOHONEN SELF-ORGANIZING MAPS; STREAM CLASSIFICATION;

BACKPROPAGATION; CONFORMAL MAPPING; DECISION MAKING; GEOMORPHOLOGY; HAZARDS; INFORMATION RETRIEVAL SYSTEMS; LANDFORMS; SECURITY OF DATA; SOIL CONSERVATION; SPEECH RECOGNITION; WATER CONSERVATION; WATER MANAGEMENT; WATERSHEDS;

SELF ORGANIZING MAPS;

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DECISION MAKING; FORECASTING METHOD; HAZARD MANAGEMENT; HIERARCHICAL SYSTEM; STREAM;

NORTH AMERICA; UNITED STATES; VERMONT;

EID: 66949179364     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.04.007     Document Type: Article

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