Distributed Fiber Grating Spectrum Optimization Based on BP Neural Network

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.