Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps

Talanta

Volumn 106, Issue , 2013, Pages 229-236

  Kittiwachana, Sila ^a   Wangkarn, Sunanta ^a   Grudpan, Kate ^a   Brereton, Richard G ^b  

^a CHIANG MAI UNIVERSITY   (Thailand)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Chemometrics; Chromatography; Non linear multivariate calibration; Quantitative structure activity relationship; Self organizing map

Indexed keywords

BACKPROPAGATION; CHROMATOGRAPHY; CONFORMAL MAPPING; FORECASTING; LIQUID CHROMATOGRAPHY; QUANTUM CHEMISTRY; RADIAL BASIS FUNCTION NETWORKS;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); CHEMOMETRICS; MULTIVARIATE CALIBRATION; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTUM CHEMICAL PARAMETERS; RADIAL BASIS FUNCTION NEURAL NETWORKS; SELF ORGANIZING MAPS(SOMS); SUPERVISED SELF-ORGANIZING MAP;

SELF ORGANIZING MAPS;

EID: 84873332435     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2012.12.005     Document Type: Article

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