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

作者：Saracoglu Oe Galip^*

来源：Sensors, 2008, 8(3): 1585-1594.

DOI：10.3390/s8031585

• fiber optic sensor
• evanescent field
• absorption
• artificial neural networks

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.

• 出版日期2008-3