Development of migration models for acids in capillary electrophoresis using heuristic and radial basis function neural network methods

Electrophoresis

Volumn 26, Issue 11, 2005, Pages 2154-2164

  Xue, Chunxia ^a   Yao, Xiaojun ^a,b   Liu, Huanxiang ^a   Liu, Mancang ^a   Hu, Zhide ^a   Fan, Botao ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Acids; Electrophoretic mobility; Heuristic method; Quantitative structure mobility relationship; Radial basis function neural network

Indexed keywords

CAPILLARY ELECTROPHORESIS; ELECTROPHORETIC MOBILITY; FORECASTING; RADIAL BASIS FUNCTION NETWORKS; STATISTICAL TESTS;

DESCRIPTORS; LINEAR PREDICTION MODELS; MIGRATION MODELLING; NEURAL NETWORK METHOD; NONLINEAR PREDICTION MODEL; QUANTITATIVE STRUCTURE-MOBILITY RELATIONSHIP; QUANTITATIVE STRUCTURES; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBF); ROOT MEAN SQUARE ERRORS; STRUCTURE-MOBILITY RELATIONSHIP;

HEURISTIC METHODS;

CARBOXYLIC ACID; INORGANIC ACID;

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CAPILLARY ELECTROPHORESIS; CONTROLLED STUDY; ELECTROPHORETIC MOBILITY; EXPERIMENTAL MODEL; LINEAR SYSTEM; NONLINEAR SYSTEM; PREDICTION; QUANTITATIVE ANALYSIS; STRUCTURE ANALYSIS;

EID: 20744438940     PISSN: 01730835     EISSN: None     Source Type: Journal    
DOI: 10.1002/elps.200410175     Document Type: Article

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