强化学习
计算机科学
降噪
人工神经网络
模式(计算机接口)
人工智能
深度学习
操作系统
作者
Zheng Li,Wenbo Zhang,Yang Wang,Guanju Peng,Zongze Li,Xiaoyan Zhou,Lin Zhang
标识
DOI:10.1364/ofc.2024.w2b.13
摘要
We propose a reinforcement-learning-optimized nonlinear physical diffractive neural network, which can simultaneously perform OAM-mode and LP-mode conversion with Gaussian noise removal. The PSNR and SSIM of the converted modes reach 27.94 dB and 0.838, respectively.
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