Proceedings Paper
Neural network processing of fiber optic sensors and sensor arrays| Format | Member Price | Non-Member Price |
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Paper Abstract
For sophisticated smart structures where sensing and actuation is distributed over large areas or consists of dozens to thousands
of discrete elements, the processing task is computationally intensive. Artificial neural networks offer an opportunity to
implement a massively parallel architecture with near real time processing speed and the ability to learn the desired response.
This overview of applied neural network processing projects at Florida Institute of Technology includes: processing polarimetric
and N-mode strain sensor signals, damage assessment using embedded sensor arrays, and development of electrooptic neural
networks
Paper Details
Date Published: 1 December 1990
PDF: 12 pages
Proc. SPIE 1370, Fiber Optic Smart Structures and Skins III, (1 December 1990); doi: 10.1117/12.24852
Published in SPIE Proceedings Vol. 1370:
Fiber Optic Smart Structures and Skins III
Richard O. Claus; Eric Udd, Editor(s)
PDF: 12 pages
Proc. SPIE 1370, Fiber Optic Smart Structures and Skins III, (1 December 1990); doi: 10.1117/12.24852
Show Author Affiliations
Barry G. Grossman, Florida Institute of Technology (United States)
Howard Hou, Florida Institute of Technology (United States)
Ramzi H. Nassar, Florida Institute of Technology (United States)
Howard Hou, Florida Institute of Technology (United States)
Ramzi H. Nassar, Florida Institute of Technology (United States)
Anbang Ren, Florida Institute of Technology (United States)
Michael H. Thursby, Florida Institute of Technology (United States)
Michael H. Thursby, Florida Institute of Technology (United States)
Published in SPIE Proceedings Vol. 1370:
Fiber Optic Smart Structures and Skins III
Richard O. Claus; Eric Udd, Editor(s)
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