4 papers
Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing
Mingcheng Luo, Jianmin Xiong, Jiayong Peng +4
All-optical diffractive neural networks (DNNs) offer low latency, low energy consumption, and massive parallelism. However, their scalability in terms of network scale and multi-ta…
Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network
Yubin Zang, Boyu Hua, Zhenzhou Tang +5
In cater the need of Beyond 5G communications, large numbers of data driven artificial intelligence based fiber models has been put forward as to utilize artificial intelligence's…
Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network
Yubin Zang, Boyu Hua, Zhipeng Lin +4
In this manuscript, a novelty principle driven fiber transmission model for short-distance transmission with parameterized inputs is put forward. By taking into the account of the…
Fiber neural networks for the intelligent optical fiber communications
Yubin Zang, Zuxing Zhang, Simin Li +2
Optical neural networks have long cast attention nowadays. Like other optical structured neural networks, fiber neural networks which utilize the mechanism of light transmission to…