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Sensors 2008, 8(3), 1585-1594; doi:10.3390/s8031585
Article

An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor

Received: 2 November 2007; Accepted: 29 February 2008 / Published: 10 March 2008
(This article belongs to the Special Issue Intelligent Sensors)
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Abstract: This paper describes artificial neural network (ANN) based prediction of theresponse of a fiber optic sensor using evanescent field absorption (EFA). The sensingprobe of the sensor is made up a bundle of five PCS fibers to maximize the interaction ofevanescent field with the absorbing medium. Different backpropagation algorithms areused to train the multilayer perceptron ANN. The Levenberg-Marquardt algorithm, aswell as the other algorithms used in this work successfully predicts the sensor responses.
Keywords: Fiber optic sensor; evanescent field; absorption; artificial neural networks Fiber optic sensor; evanescent field; absorption; artificial neural networks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Saracoglu, Ö.G. An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor. Sensors 2008, 8, 1585-1594.

AMA Style

Saracoglu ÖG. An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor. Sensors. 2008; 8(3):1585-1594.

Chicago/Turabian Style

Saracoglu, Ö. G. 2008. "An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor." Sensors 8, no. 3: 1585-1594.



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