Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression

Journal of Chemical Information and Computer Sciences

Volumn 44, Issue 4, 2004, Pages 1257-1266

  Yao, X J ^a,b   Panaye, A ^a   Doucet, J P ^a   Zhang, R S ^b   Chen, H F ^a   Liu, M C ^b   Hu, Z D ^b   Fan, B T ^a  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b LANZHOU UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; GENETIC ALGORITHMS; LEARNING SYSTEMS; REGRESSION ANALYSIS; TOXICITY; VECTORS;

CHEMOMETRICS; MULTIPLE LINEAR REGRESSION; VECTOR MACHINES;

RADIAL BASIS FUNCTION NETWORKS;

PHENOL DERIVATIVE; PROSTAGLANDIN SYNTHASE INHIBITOR;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPARATIVE STUDY; COMPUTER SIMULATION; DRUG EFFECT; FACTUAL DATABASE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL; TETRAHYMENA PYRIFORMIS;

ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CYCLOOXYGENASE INHIBITORS; DATABASES, FACTUAL; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PHENOLS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TETRAHYMENA PYRIFORMIS;

EID: 4043071270     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci049965i     Document Type: Article

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