Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network
Ghosh, S. 
ORCID: 0000-0002-1992-2289, Dissanayake, K. P. W., Sun, T. ORCID: 0000-0003-3861-8933 , Grattan, K. T. V. ORCID: 0000-0003-2250-3832 & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2021).
Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network.
In:
2021 Conference on Lasers and Electro-Optics (CLEO).
CLEO: Applications and Technology 2021, 9-14 May 2021, California, USA.
doi: 10.1364/cleo_at.2021.jw1a.25
Abstract
An ultrasensitive hybrid fiber grating sensor has been designed and functionalized with a novel nanocomposite material for selective detection of lead ions in water. Sensor performance is enhanced using an artificial neural network-based calibration process.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | © the authors, 2022, Optica Publishing Group. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. |
| Publisher Keywords: | Optical fibers, Optical fiber sensors, Artificial neural networks, Optical fiber networks, Tools, Fiber gratings, Ions |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Departments: | School of Science & Technology > Engineering |
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