Gaussian process: an efficient technique to solve quantitative structure-property relationship problems.

SAR and QSAR in environmental research

Volumn 12, Issue 5, 2001, Pages 461-469

  Enot, D P ^a   Gautier, R ^a   Le Marouille, J Y ^a  

^a UNIV RENNES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

THIOKETONE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; CHEMISTRY; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; STRUCTURE ACTIVITY RELATION;

MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; REGRESSION ANALYSIS; STRUCTURE-ACTIVITY RELATIONSHIP; THIONES;

EID: 0035754780     PISSN: 1062936X     EISSN: None     Source Type: Journal    
DOI: 10.1080/10629360108035385     Document Type: Article

References (0)