Estimation of discharge and end depth in trapezoidal channel by support vector machines

Water Resources Management

Volumn 21, Issue 10, 2007, Pages 1763-1780

  Pal, Mahesh ^a   Goel, Arun ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Bed slopes; Discharge; Enddepth; Neural network; Radial based kernel; Support vector regression; Trapezoidal channel

Indexed keywords

DISCHARGE (FLUID MECHANICS); MATHEMATICAL MODELS; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS;

END DEPTH; TRAPEZOIDAL CHANNEL;

SUPPORT VECTOR MACHINES;

DISCHARGE (FLUID MECHANICS); MATHEMATICAL MODELS; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHANNEL; DISCHARGE; ESTIMATION METHOD; HYDROLOGICAL MODELING;

EID: 34548509470     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-006-9126-z     Document Type: Article

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