Abstract
An optode device that contains two optical ion-selective membranes for potassium and sodium was used to obtain optode spectra of mixtures of these two ions. Such spectra are a non-linear function of the concentrations of the two ions. A back-propagation artificial neural network (BP-ANN) model was used to analyse these mixture optode spectra. The results showed that the BP-ANN technique is satisfactory for treating such non-linearity embedded in the data. In addition, an index for addressing the quality of the model approximation was defined and shown to be highly effective in controlling over-fitting in BP-ANN training.
Original language | English |
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Pages (from-to) | 657-661 |
Number of pages | 5 |
Journal | Analyst |
Volume | 122 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 1997 |
Scopus Subject Areas
- Analytical Chemistry
- Biochemistry
- Environmental Chemistry
- Spectroscopy
- Electrochemistry
User-Defined Keywords
- Neural network
- Non-linear multivariate calibration
- Optode spectrum
- Over-fitting
- Potassium and sodium determination