Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network
A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size. When the diffractive devices are partitioned proper...
Main Authors: | Yongji Long, Zirong Wang, Bin He, Ting Nie, Xingxiang Zhang, Tianjiao Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/19/7110 |
Similar Items
-
Diffractive interconnects: all-optical permutation operation using diffractive networks
by: Mengu Deniz, et al.
Published: (2022-09-01) -
Crystal optics : diffraction/
by: Flugge, Siegfried
Published: (1960) -
Parallelized and Cascadable Optical Logic Operations by Few-Layer Diffractive Optical Neural Network
by: Xianjin Liu, et al.
Published: (2023-04-01) -
Alternative Design of Binary Phase Diffractive Optical Element with Non-π Phase Difference
by: Cheng Xu, et al.
Published: (2021-01-01) -
Theoretical principle and design of high-imaging-quality refractive-diffractive optical elements by multifocal-simultaneous aberration-correction method
by: Bo Dong, et al.
Published: (2024-04-01)