An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor
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. Differ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2008-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/8/3/1585/ |
| _version_ | 1811187294849204224 |
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| author | Ö. Galip Saracoglu |
| author_facet | Ö. Galip Saracoglu |
| author_sort | Ö. Galip Saracoglu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T14:00:57Z |
| format | Article |
| id | doaj.art-f5f785e403e749299b621efbc14552b9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:00:57Z |
| publishDate | 2008-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f5f785e403e749299b621efbc14552b92022-12-22T04:20:08ZengMDPI AGSensors1424-82202008-03-018315851594An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber SensorÖ. Galip SaracogluThis 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.http://www.mdpi.com/1424-8220/8/3/1585/Fiber optic sensorevanescent fieldabsorptionartificial neural networks |
| spellingShingle | Ö. Galip Saracoglu An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor Sensors Fiber optic sensor evanescent field absorption artificial neural networks |
| title | An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor |
| title_full | An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor |
| title_fullStr | An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor |
| title_full_unstemmed | An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor |
| title_short | An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor |
| title_sort | artificial neural network approach for the prediction of absorption measurements of an evanescent field fiber sensor |
| topic | Fiber optic sensor evanescent field absorption artificial neural networks |
| url | http://www.mdpi.com/1424-8220/8/3/1585/ |
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