Study of nematic transition temperatures in themotropic liquid crystal using Heuristic Method and Radial Basis Function Neural Networks and Support Vector Machine

QSAR and Combinatorial Science

Volumn 27, Issue 11-12, 2008, Pages 1282-1290

  Gong, Zhiguo ^a   Zhang, Ruisheng ^a   Xia, Binbin ^a   Hu, Rongjing ^a,b   Fan, Botao ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DIDEROT   (France)

Author keywords

Heuristic Method (HM); Liquid crystal (LC); Quantitative Structure Property Relationships (QSPRs); Radial Basis Function Neural Networks (RBFNNs); Support Vector Machine (SVM)

Indexed keywords

CRYSTAL STRUCTURE; NEMATIC LIQUID CRYSTALS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TEMPERATURE;

HEURISTIC METHOD; LIQUID CRYSTAL; LIQUID-CRYSTALS; QUANTITATIVE STRUCTURE - PROPERTY RELATIONSHIP; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP MODELS; RADIAL BASE FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBF); SUPPORT VECTOR MACHINE; SUPPORT VECTORS MACHINE;

HEURISTIC METHODS;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA ANALYSIS; INTERMETHOD COMPARISON; LIQUID CRYSTAL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE PROPERTY RELATION; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TRANSITION TEMPERATURE;

EID: 58149125431     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200860027     Document Type: Article

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