1 August 1996 Two kinds of neural network algorithms suitable for fiber optic sensing array signal processing
Author Affiliations +
Optical Engineering, 35(8), (1996). doi:10.1117/1.600826
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.
Yaqing Tu, Shanglian Huang, "Two kinds of neural network algorithms suitable for fiber optic sensing array signal processing," Optical Engineering 35(8), (1 August 1996). http://dx.doi.org/10.1117/1.600826
JOURNAL ARTICLE
7 PAGES


SHARE
KEYWORDS
Neural networks

Fiber optics sensors

Signal processing

Optical arrays

Evolutionary algorithms

Array processing

Optical engineering

Back to Top