DocumentCode
1298116
Title
Neural processing-type displacement sensor employing multimode waveguide
Author
Aisawa, Shigeki ; Noguchi, Kazuhiro ; Matsumoto, Takao
Author_Institution
NTT Transmission Syst. Lab., Kanagawa, Japan
Volume
3
Issue
4
fYear
1991
fDate
4/1/1991 12:00:00 AM
Firstpage
394
Lastpage
396
Abstract
A novel neural processing-type displacement sensor, consisting of a multimode waveguide and a neural network, is demonstrated. This sensor detects displacement using changes in the interference output image of the waveguide. The interference image is directly processed by a three-layer perceptron neural network. Environmental change, such as the intensity fluctuation, and change of the temperature can be followed by training the neural network. Experimental results show that the sensor has a resolution of 1 mu m.<>
Keywords
displacement measurement; fibre optic sensors; light interference; neural nets; optical information processing; fibre sensors; intensity fluctuation; interference output image; learning systems; multimode waveguide; neural processing-type displacement sensor; temperature changes; three-layer perceptron neural network; Detectors; Displacement measurement; Fluctuations; Interference; Neural networks; Optical fiber sensors; Optical propagation; Pattern recognition; Sensor arrays; Temperature sensors;
fLanguage
English
Journal_Title
Photonics Technology Letters, IEEE
Publisher
ieee
ISSN
1041-1135
Type
jour
DOI
10.1109/68.82123
Filename
82123
Link To Document