An artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor


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Saracoglu O. G.

SENSORS, cilt.8, ss.1585-1594, 2008 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 8 Konu: 3
  • Basım Tarihi: 2008
  • Doi Numarası: 10.3390/s8031585
  • Dergi Adı: SENSORS
  • Sayfa Sayıları: ss.1585-1594

Özet

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.