Share Email Print
cover

Proceedings Paper

Neural network processing of fiber optic sensors and sensor arrays
Author(s): Barry G. Grossman; Howard Hou; Ramzi H. Nassar; Anbang Ren; Michael H. Thursby
Format Member Price Non-Member Price
PDF $14.40 $18.00

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
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)
Anbang Ren, 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)

© SPIE. Terms of Use
Back to Top