PREDICTION OF THE SELECTIVITY COEFFICIENTS OF A BERBERINE SELECTIVE ELECTRODE USING ARTIFICIAL NEURAL NETWORKS

Authors
XING WL HE XW
Citation
Wl. Xing et Xw. He, PREDICTION OF THE SELECTIVITY COEFFICIENTS OF A BERBERINE SELECTIVE ELECTRODE USING ARTIFICIAL NEURAL NETWORKS, Analytica chimica acta, 349(1-3), 1997, pp. 283-286
Citations number
9
Categorie Soggetti
Chemistry Analytical
Journal title
Analytica chimica acta → ACNP
ISSN journal
00032670
Volume
349
Issue
1-3
Year of publication
1997
Pages
283 - 286
Database
ISI
SICI code
0003-2670(1997)349:1-3<283:POTSCO>2.0.ZU;2-D
Abstract
In this paper, the selectivity coefficients of a berberine selective e lectrode was first predicted by artificial neural networks (ANN). Nine topological indices for the interference of the electrode were taken as inputs for ANN. The prediction results show that ANN provided satis factory prediction.