Share Email Print

Optical Engineering

Two kinds of neural network algorithms suitable for fiber optic sensing array signal processing
Author(s): Yaqing Tu; Shanglian Huang
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Neural networks are employed to process signals from fiber optic sensing arrays embedded in physical structures to monitor structure parameters and to estimate structural damage in real time. The backpropagation neural network, the Kohonen neural network, and its variants the LVQ1 to LVQ5 algorithms (learning-vector quantization) are discussed in detail. Simulation experiments have been done to test the suitability of neural networks for signal processing of fiber optic sensing arrays. The results of these experiments are also given.

Paper Details

Date Published: 1 August 1996
PDF: 7 pages
Opt. Eng. 35(8) doi: 10.1117/1.600826
Published in: Optical Engineering Volume 35, Issue 8
Show Author Affiliations
Yaqing Tu, Logistical Engineering Univ. (China)
Shanglian Huang, Chongqing Univ. (China)

© SPIE. Terms of Use
Back to Top