Use of Gene-Expression Programming to Estimate Manning's Roughness Coefficient for High Gradient Streams

Water Resources Management

Volumn 27, Issue 3, 2013, Pages 715-729

  Azamathulla, H Md ^a   Jarrett, Robert D ^b  

^a RIVER ENGINEERING AND URBAN DRAINAGE RESEARCH CENTRE REDAC   (Malaysia)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

Artificial neural networks; Gene expression programming; High gradient streams; Manning's roughness coefficient; Mountain Rivers; Open channel flow

Indexed keywords

DATA STREAMS; DECISION TREES; FLOODS; GENE EXPRESSION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; NEURAL NETWORKS; OPEN CHANNEL FLOW; RADIAL BASIS FUNCTION NETWORKS; SOFT COMPUTING; TREES (MATHEMATICS);

DISCHARGE MEASUREMENTS; GENE EXPRESSION PROGRAMMING; HIGH-GRADIENT STREAMS; MANNING'S ROUGHNESS COEFFICIENT; MATHEMATICAL EXPRESSIONS; MOUNTAIN RIVERS; RADIAL BASIS FUNCTIONS; SOFT COMPUTING MODELS;

ESTIMATION;

ARTIFICIAL NEURAL NETWORK; DISCHARGE; FLOODING; FLUID DYNAMICS; GENE EXPRESSION; MODEL VALIDATION; NUMERICAL MODEL; OPEN CHANNEL FLOW; ROUGHNESS; SOFTWARE;

COLORADO; UNITED STATES;

EID: 84872895984     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0211-1     Document Type: Article

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