Prediction of high weight polymers glass transition temperature using RBF neural networks

Journal of Molecular Structure: THEOCHEM

Volumn 716, Issue 1-3, 2005, Pages 193-198

  Afantitis, Antreas ^a   Melagraki, Georgia ^a   Makridima, Kalliopi ^a   Alexandridis, Alex ^a   Sarimveis, Haralambos ^a   Iglessi Markopoulou, Olga ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Glass transition temperature; QSPR; RBF neural network

Indexed keywords

POLY(1 PENTENE); POLY(1,1 DICHLOROETHYLENE); POLY(2 CHLOROSTYRENE); POLY(3 METHYLSTYRENE); POLY(4 CHLOROSTYRENE); POLY(4 FLUOROSTYRENE); POLY(A METHYLSTYRENE); POLY(BUTYLACRYLATE); POLY(BUTYLETHYLENE); POLY(CHLOROTRIFLUOROETHYLENE); POLY(CYCLOHEXYLETHYLENE); POLY(ETHYLCHLOROACRYLATE); POLY(ETHYLMETHYLACRYLATE); POLY(METHYL METHACRYLATE); POLY(N HEPTYLACRYLATE); POLY(N HEXYLACRYLATE); POLY(N OCTYLACRYLATE); POLY(OXYETHYLENE); POLY(OXYOCTAMETHYLENE); POLY(OXYTETRAMETHYLENE); POLY(TERT BUTYLACRYLATE); POLY(TERT BUTYLMETHYLACRYLATE); POLY(VINYL N BUTYL ETHER); POLY(VINYL N OCTYL ETHER); POLY(VINYLHEXYL ETHER); POLYETHYLENE; POLYMER; POLYVINYL ACETATE; POLYVINYLCHLORIDE; UNCLASSIFIED DRUG; UNINDEXED DRUG;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; GLASS TRANSITION TEMPERATURE; LINEAR REGRESSION ANALYSIS; MATHEMATICAL MODEL; MOLECULAR WEIGHT; MULTIPLE REGRESSION; PARAMETER; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; THEORETICAL MODEL;

EID: 14644405521     PISSN: 01661280     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.theochem.2004.11.021     Document Type: Article

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