Abstract
The application of artificial neural network (ANN) in signal processing of optical fibre pH sensor is presented. The pH sensor is developed based on the use of bromophenol blue indicator immobilized in a sol-gel thin film as a
sensing material. A three layer feed-forward network was used and the network training was performed using the back-propagation algorithm. Spectra generated from the pH sensor at several selected wavelengths are used as the input for the ANN. The bromophenol blue indicator, which has a limited dynamic range of 3.00-5.50 pH units, was found to show higher pH dynamic range of 2.00-12.00 and low calibration error after training with ANN. The trained
ANN was successfully employed to predict several spectra from unknown buffer solution with an average error of 0.06 pH units.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Taib, Mohd Nasir dr.nasir@ieee.org Mohd Suah, Faiz Bukhari UNSPECIFIED Ahmad, Musa UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Optical fibers |
| Divisions: | |
| Journal or Publication Title: | Scientific Research Journal |
| UiTM Journal Collections: | UiTM Journals > Scientific Research Journal (SRJ) |
| ISSN: | 1675-7009 |
| Volume: | 2 |
| Number: | 2 |
| Page Range: | pp. 1-15 |
| Keywords: | Artificial neural network; Optical fibre pH sensor; Signal processing; Sol-gel; pH indicator; bromophenol blue |
| Date: | 2005 |
| URI: | https://ir.uitm.edu.my/id/eprint/12802 |
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