title: An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor.
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.
authors.affiliation: Erciyes University, Department of Electrical and Electronic Engineering, 38039, Kayseri, Turkey. saracog@erciyes.edu.tr.
authors.forename: Ö Galip
authors.initials: ÖG
authors.lastname: Saracoglu
keywords: Fiber optic sensor; absorption; artificial neural networks; evanescent field