Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machine

Journal of Physical Chemistry B

Volumn 109, Issue 43, 2005, Pages 20565-20571

  Liu, Huanxiang ^a   Yao, Xiaojun ^a   Zhang, Ruisheng ^a   Liu, Mancang ^a   Hu, Zhide ^a   Fan, Botao ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; ORGANIC SOLVENTS; SOLUBILITY;

LEAST-SQUARES SUPPORT VECTOR MACHINE (LSSVM); NONLINEAR MODELS;

MOLECULAR STRUCTURE;

ORGANIC COMPOUND; SOLVENT;

ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; ELECTROCHEMISTRY; METHODOLOGY; REGRESSION ANALYSIS; SOLUBILITY;

ELECTROCHEMISTRY; LEAST-SQUARES ANALYSIS; MODELS, MOLECULAR; ORGANIC CHEMICALS; SOLUBILITY; SOLVENTS;

EID: 27744444218     PISSN: 15206106     EISSN: None     Source Type: Journal    
DOI: 10.1021/jp052223n     Document Type: Article

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