Distributed Fiber Grating Spectrum Optimization Based on BP Neural Network

Author

Zhaoxia, Wu ; Guangshuai, Zhu ; Zhenhe, Ma ; Fei, Wu ; Lei, Chang ; Leilei, Shi

Author_Institution

Dept. of Autom., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China

fYear

2011

fDate

17-18 Sept. 2011

Firstpage

465

Lastpage

468

Abstract

In this dissertation, the research of distributed fiber grating spectrum form optimization is given. Spatial division multiplexing transform and time division multiplexing are the advantages of distributed fiber grating so that it can highly enhance efficiency and practicality, but much side lobes and bad precision are inherent disadvantages of distributed fiber grating. In accordance with those, BP neural network method is put forward. The result shows that BP neural network method possesses robustness and fault tolerance.

Keywords

Bragg gratings; backpropagation; fault tolerance; neural nets; optical fibres; optimisation; spectral analysis; telecommunication computing; time division multiplexing; BP neural network; distributed fiber grating spectrum optimization; fault tolerance; spatial division multiplexing transform; time division multiplexing; Biological neural networks; Fiber gratings; Optical fiber networks; Optical fiber polarization; Optical fiber sensors; Optical fiber theory; BP neural network; Distributed fiber grating; Spectral Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Computing & Information Services (ICICIS), 2011 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-1561-7

Type

conf

DOI

10.1109/ICICIS.2011.122

Filename

6063299