Distributed fiber grating spectrum optimization based on BP neural network
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 sidelobes 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.
Distributed fiber grating BP neural network Spectral Analysis
Wu Zhaoxia Yue Haili
Department of Automation Northeastern University at Qinhuangdao Qinhuangdao,China Handan Hydraulic engineering Department Handan,China
国际会议
秦皇岛
英文
228-231
2010-11-05(万方平台首次上网日期,不代表论文的发表时间)