Journal
SENSORS
Volume 8, Issue 3, Pages 1585-1594Publisher
MDPI
DOI: 10.3390/s8031585
Keywords
fiber optic sensor; evanescent field; absorption; artificial neural networks
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This paper describes artificial neural network ( ANN) based prediction of the response of a fiber optic sensor using evanescent field absorption (EFA). The sensing probe of the sensor is made up a bundle of five PCS fibers to maximize the interaction of evanescent field with the absorbing medium. Different backpropagation algorithms are used to train the multilayer perceptron ANN. The Levenberg-Marquardt algorithm, as well as the other algorithms used in this work successfully predicts the sensor responses.
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