PREDICTION OF SELECTIVITY COEFFICIENTS OF MEDICINE ELECTRODE USING ARTIFICIAL NEURAL NETWORKS AND PARTIAL LEAST-SQUARES

Authors
XING WL ZHANG CX HE XW
Citation
Wl. Xing et al., PREDICTION OF SELECTIVITY COEFFICIENTS OF MEDICINE ELECTRODE USING ARTIFICIAL NEURAL NETWORKS AND PARTIAL LEAST-SQUARES, Chemistry Letters, (3), 1997, pp. 207-208
Citations number
9
Categorie Soggetti
Chemistry
Journal title
Chemistry Letters → ACNP
ISSN journal
03667022
Issue
3
Year of publication
1997
Pages
207 - 208
Database
ISI
SICI code
0366-7022(1997):3<207:POSCOM>2.0.ZU;2-F
Abstract
In this paper, the selectivity coefficient of ion selective electrode is first predicted by artificial neural networks (ANN) and partial lea st squares (PLS), with topological indices of the interference taken a s inputs for these two chemometric techniques The prediction results f or ANN were better than that for PLS.