Predicting toxic action mechanisms of phenols using AdaBoost Learner

Chemometrics and Intelligent Laboratory Systems

Volumn 96, Issue 1, 2009, Pages 43-48

  Niu, Bing ^a   Jin, Yuhuan ^a   Lu, WenCong ^a   Li, GuoZheng ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

AdaBoost; Artificial neural networks (ANNs); K nearest neighbors (KNNs); Phenols; Structure Activity Relationships (SARs); Support vector machine(SVM); Toxic action mechanisms

Indexed keywords

PHENOL DERIVATIVE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; ECOTOXICITY; K NEAREST NEIGHBOR; PRIORITY JOURNAL; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

EID: 61749099319     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2008.11.003     Document Type: Article

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