Accurate prediction of θ (lower critical solution temperature) in polymer solutions based on 3D descriptors and artificial neural networks

Macromolecular Theory and Simulations

Volumn 17, Issue 2-3, 2008, Pages 109-120

  Xu, Jie ^a   Chen, Biao ^b   Liang, Hao ^c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c HUIZHOU UNIVERSITY   (China)

Author keywords

Artificial neural networks; Quantitative structureproperty relationships; Solution properties; Stepwise multilinear regression analysis; Three dimensional descriptors

Indexed keywords

ABS RESINS; BACKPROPAGATION; CORRELATION METHODS; DATA STRUCTURES; ELECTRIC FAULT LOCATION; FORECASTING; POLYMER SOLUTIONS; POLYMERS; REGRESSION ANALYSIS; SECONDARY EMISSION; SOLUTIONS; STATISTICAL TESTS; SULFUR COMPOUNDS; THREE DIMENSIONAL;

ARTIFICIAL NEURAL NETWORKS; QUANTITATIVE STRUCTUREPROPERTY RELATIONSHIPS; SOLUTION PROPERTIES; STEPWISE MULTILINEAR REGRESSION ANALYSIS; THREE-DIMENSIONAL DESCRIPTORS;

NEURAL NETWORKS;

EID: 55349144187     PISSN: 10221344     EISSN: 15213919     Source Type: Journal    
DOI: 10.1002/mats.200700067     Document Type: Article

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