The invention discloses an
optical fiber vortex mode
engineering method based on a neural network, and belongs to the field of
optical fiber communication. The
optical fiber vortex mode performance parameters are acquired corresponding to the vortex ring optical
fiber structure parameters through numerical
simulation. A neural network is utilized to construct a complex function relation between optical
fiber vortex mode performance parameters and vortex ring optical
fiber structure parameters, wherein the optical fiber vortex mode performance parameters serve as input, and the vortex ring optical
fiber structure parameters serve as output, thereby training, testing and verifying the neural
network model. Finally, the target optical fiber vortex mode performance parameters are inputted into the neural
network model to predict required vortex ring optical
fiber structure parameters, thereby realizing optical fiber vortex mode
engineering based on the neural network. The limitation of a traditional vortex optical fiber design method and the
bottleneck of vortex mode regulation and control are broken through, an optical fiber vortex mode project with a brand new thought is provided for similar optical fiber dispersion
engineering, the optical fiber vortex mode engineering has a wide application prospect in the field of vortex mode
space division multiplexing systems, and the blank of related technical fields is filled.