Rapid detection of chemical oxygen demand using least square support vector machines

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 5, Issue , 2004, Pages 3810-3813

  Fang, Jun ^a   Dai, Liankui ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Adaptive; COD; Least square support vector machines; Water quality monitoring

Indexed keywords

ADAPTIVE; LEAST SQUARE SUPPORT VECTOR MACHINES; MULTIVARIATE LINEAR REGRESSION (MLR); PARTIAL LEAST SQUARE (PLS) REGRESSION; WATER QUALITY MONITORING;

ALGORITHMS; CORRELATION METHODS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; REGRESSION ANALYSIS; ULTRAVIOLET SPECTROSCOPY; VECTORS; WATER POLLUTION; WATER QUALITY;

CHEMICAL OXYGEN DEMAND;

EID: 4444287247     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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