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Proceedings Paper

Composite-structure strain assessment by optical Hopfield neural network
Author(s): Pan Wei; Bin Lin; Wen Zhou; Weizhong Tang
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Paper Abstract

Because massive amounts of various information from embedded fiber sensors in composite are required to intelligently monitor the integrity and health of the structure, smart structures face the challenge of signal processing in future applications. In this paper, we give our studies on the processing of signals from polarimetric fiber sensors to assess strain distribution by an improved optical Hopfield neural network.

Paper Details

Date Published: 7 June 1996
PDF: 9 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.241998
Show Author Affiliations
Pan Wei, Zhejiang Univ. (China)
Bin Lin, Zhejiang Univ. (China)
Wen Zhou, Zhejiang Univ. (China)
Weizhong Tang, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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