An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad
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 ne...
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| Format: | Article |
| Language: | en |
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Institute of Research, Development and Commercialisation (IRDC)
2005
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| Online Access: | https://ir.uitm.edu.my/id/eprint/12802/1/AJ_MOHD%20NASIR%20TAIB%20SRJ%2005%201.pdf https://ir.uitm.edu.my/id/eprint/12802/ https://srj.uitm.edu.my/ |
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| _version_ | 1833058810397196288 |
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| author | Taib, Mohd Nasir Mohd Suah, Faiz Bukhari Ahmad, Musa |
| author_facet | Taib, Mohd Nasir Mohd Suah, Faiz Bukhari Ahmad, Musa |
| author_sort | Taib, Mohd Nasir |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.uitm.ir-12802 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2005 |
| publisher | Institute of Research, Development and Commercialisation (IRDC) |
| record_format | eprints |
| spelling | my.uitm.ir-128022016-05-26T06:51:10Z https://ir.uitm.edu.my/id/eprint/12802/ An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad srj Taib, Mohd Nasir Mohd Suah, Faiz Bukhari Ahmad, Musa Neural networks (Computer science) Optical fibers 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. Institute of Research, Development and Commercialisation (IRDC) 2005 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/12802/1/AJ_MOHD%20NASIR%20TAIB%20SRJ%2005%201.pdf An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad. (2005) Scientific Research Journal <https://ir.uitm.edu.my/view/publication/Scientific_Research_Journal/>, 2 (2). pp. 1-15. ISSN 1675-7009 https://srj.uitm.edu.my/ |
| spellingShingle | Neural networks (Computer science) Optical fibers Taib, Mohd Nasir Mohd Suah, Faiz Bukhari Ahmad, Musa An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title | An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title_full | An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title_fullStr | An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title_full_unstemmed | An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title_short | An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad |
| title_sort | intelligent optical fibre ph sensor based on sol-gel advanced material and artificial neural network / mohd nasir taib, faiz bukhari mohd suah and musa ahmad |
| topic | Neural networks (Computer science) Optical fibers |
| url | https://ir.uitm.edu.my/id/eprint/12802/1/AJ_MOHD%20NASIR%20TAIB%20SRJ%2005%201.pdf https://ir.uitm.edu.my/id/eprint/12802/ https://srj.uitm.edu.my/ |
| url_provider | http://ir.uitm.edu.my/ |