Support vector machine applications in the field of hydrology: A review

Applied Soft Computing Journal

Volumn 19, Issue , 2014, Pages 372-386

  Raghavendra, Sujay ^a   Deka, Paresh Chandra ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

Author keywords

Hydrological models; Optimization theory; Statistical learning; Support vector machines

Indexed keywords

ALGORITHMS; HYDROLOGY; SITE SELECTION;

HIGH-DIMENSIONAL FEATURE SPACE; HYDROLOGICAL MODELS; HYDROLOGICAL PARAMETERS; OPTIMIZATION ALGORITHMS; OPTIMIZATION THEORY; STATISTICAL LEARNING; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINE (SVMS);

SUPPORT VECTOR MACHINES;

EID: 84899447875     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.02.002     Document Type: Review

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