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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
Erciyes University, Department of Electrical and Electronic Engineering, 38039, Kayseri, Turkey
Received: 2 November 2007 / Accepted: 29 February 2008 / Published: 10 March 2008
(This article belongs to the Special Issue Intelligent Sensors)
Download PDF Full-Text [135 KB, uploaded 16 September 2008 11:01 CEST]
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
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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 StyleSaracoglu 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 StyleSaracoglu, 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.