Application of biomonitoring and support vector machine in water quality assessment

Journal of Zhejiang University: Science B

Volumn 13, Issue 4, 2012, Pages 327-334

  Liao, Yue ^a   Xu, Jian Yu ^a   Wang, Zhu Wei ^b  

^a NINGBO UNIVERSITY   (China)

^b CISCO SYSTEMS   (United States)

Author keywords

Behavioral feature parameter; Genetic algorithm (GA); Support vector machine (SVM); Water assessment; Water quality classification

Indexed keywords

CADMIUM; CHROMIUM; COPPER ION; COPPER SULFATE; MERCURY; WATER;

ACCURACY; ACUTE TOXICITY; ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ARTICLE; BIOLOGICAL MONITORING; COST; GENETIC ALGORITHM; KERNEL METHOD; NONHUMAN; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; SWIMMING; TIME; WATER POLLUTION; WATER QUALITY;

ANIMALS; BEHAVIOR, ANIMAL; BIOLOGICAL ASSAY; ENVIRONMENTAL MONITORING; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINES; WATER; ZEBRAFISH;

DANIO RERIO;

EID: 84863497538     PISSN: 16731581     EISSN: 18621783     Source Type: Journal    
DOI: 10.1631/jzus.B1100031     Document Type: Article

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