Processing the signals from an optical fibre pH sensor by using an artificial neural network

2003 ◽  
Author(s):  
F.B.M. Suah ◽  
M.N. Taib ◽  
M. Ahmad
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Optical Fibre ◽  
Ph Sensor ◽  
Artificial Neural

scholarly journals An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network

2005 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Mohd Nasir Taib ◽  
Faiz Bukhari Mohd Suah ◽  
Musa Ahmad
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Optical Fibre ◽  
Dynamic Range ◽  
Sol Gel ◽  
Ph Sensor ◽  
Bromophenol Blue ◽  
Back Propagation Algorithm ◽  
Feed Forward Network ◽  
Artificial Neural

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.

Broad-Range Optical pH Sensor Based on Binary Mixed-Indicator Doped Sol-Gel Film and Application of Artificial Neural Network

2008 ◽  
Vol 41 (17) ◽  
pp. 3113-3123 ◽  
Author(s):  
Mojtaba Shamsipur ◽  
Fatemeh Abbasitabar ◽  
Vali Zare-Shahabadi ◽  
Shahabadi ◽  
Morteza Akhond
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Sol Gel ◽  
Ph Sensor ◽  
Gel Film ◽  
Artificial Neural ◽  
Optical Ph Sensor
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