Back to Search
Start Over
An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor
- Source :
- Sensors, Vol 8, Iss 3, Pp 1585-1594 (2008), Sensors (Basel, Switzerland), Sensors; Volume 8; Issue 3; Pages: 1585-1594
- Publication Year :
- 2008
- Publisher :
- MDPI AG, 2008.
-
Abstract
- 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.
- Subjects :
- Engineering
Evanescent wave
Field (physics)
Acoustics
evanescent field
Computer Science::Neural and Evolutionary Computation
Physics::Optics
lcsh:Chemical technology
Biochemistry
Full Research Paper
Analytical Chemistry
lcsh:TP1-1185
Electrical and Electronic Engineering
Fiber optic sensor
absorption
artificial neural networks
Absorption (electromagnetic radiation)
Instrumentation
Artificial neural network
business.industry
Electrical engineering
Atomic and Molecular Physics, and Optics
Backpropagation
Multilayer perceptron
Bundle
business
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 8
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....21428feb36687ee9da34831dfa018458