Prediction of the Lee retention indices of polycyclic aromatic hydrocarbons by artificial neural network

Journal of Chromatography A

Volumn 1108, Issue 2, 2006, Pages 279-284

  Škrbić, Biljana ^a   Onjia, Antonije ^b  

^a UNIVERSITY OF NOVI SAD   (Serbia)

^b UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Artificial; Neural network; PAHs; Quantitative structure retention relationship; Retention indices

Indexed keywords

ERRORS; MATHEMATICAL MODELS; MOLECULAR WEIGHT; NEURAL NETWORKS; OPTIMIZATION; TEMPERATURE MEASUREMENT;

ARTIFICIAL; PAHS; QUANTITATIVE STRUCTURE RETENTION RELATIONSHIP; RETENTION INDICES;

POLYCYCLIC AROMATIC HYDROCARBONS;

POLYCYCLIC AROMATIC HYDROCARBON DERIVATIVE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ERROR; MOLECULAR SIZE; MOLECULAR WEIGHT; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE PROPERTY RELATION; TEMPERATURE;

EID: 32844473018     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2006.01.080     Document Type: Article

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