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Titolo:
Artificial neural networks for computer-aided modelling and optimisation in micellar electrokinetic chromatography
Autore:
Havel, J; Breadmore, M; Macka, M; Haddad, PR;
Indirizzi:
Univ Tasmania, Sch Chem, Hobart, Tas 7001, Australia Univ Tasmania HobartTas Australia 7001 Chem, Hobart, Tas 7001, Australia Masaryk Univ, Fac Sci, Dept Analyt Chem, Brno 61137, Czech Republic Masaryk Univ Brno Czech Republic 61137 Chem, Brno 61137, Czech Republic
Titolo Testata:
JOURNAL OF CHROMATOGRAPHY A
fascicolo: 1-2, volume: 850, anno: 1999,
pagine: 345 - 353
Fonte:
ISI
Lingua:
ENG
Soggetto:
PERFORMANCE LIQUID-CHROMATOGRAPHY; CAPILLARY-ZONE-ELECTROPHORESIS; EXPERIMENTAL-DESIGN; MIGRATION BEHAVIOR; OPTIMIZATION; SELECTIVITY; RESOLUTION; PREDICTION; SOLUTES;
Keywords:
neural networks; artificial; optimisation; computer modelling; experimental design; metal complexes;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Physical, Chemical & Earth Sciences
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Haddad, PR Univ Tasmania, Sch Chem, GPO Box 252-75, Hobart, Tas 7001, Australia Univ Tasmania GPO Box 252-75 Hobart Tas Australia 7001 ustralia
Citazione:
J. Havel et al., "Artificial neural networks for computer-aided modelling and optimisation in micellar electrokinetic chromatography", J CHROMAT A, 850(1-2), 1999, pp. 345-353

Abstract

The separation process in capillary micellar electrochromatography (MEKC) can be modelled using artificial neural networks (ANNs) and optimisation ofMEKC methods can be facilitated by combining ANNs with experimental design. ANNs have shown attractive possibilities for non-linear modelling of response surfaces in MEKC and it was demonstrated that by combining ANN modelling with experimental design, the number of experiments necessary to search and find optimal separation conditions can be reduced significantly. A neu;general approach for computer-aided optimisation in MEKC has been proposedwhich, because of its general validity, can also be applied in other separation techniques. (C) 1999 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 11/07/20 alle ore 10:17:17