Abstract
Abstract—We propose a solution to noisy neural networks employed in future optical communication systems. The proposed approach includes breaking down large networks into smaller ones and forming ”crowds” using these elementary networks.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2022 Asia Communications and Photonics Conference (ACP) |
Publisher | IEEE |
Pages | 753-756 |
ISBN (Electronic) | 9781665481557 |
DOIs | |
Publication status | Published - 10 Apr 2023 |
Event | 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) - Shenzen, China Duration: 5 Nov 2022 → 8 Nov 2022 |
Publication series
Name | Asia Communications and Photonics Conference (ACP) Proceedings |
---|---|
Publisher | IEEE |
Conference
Conference | 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) |
---|---|
Country/Territory | China |
City | Shenzen |
Period | 5/11/22 → 8/11/22 |
Bibliographical note
Copyright © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Funding: This work has received funding from: EU H2020 MSCA project No. 860360 and EPSRC project TRANSNET.
Keywords
- Artificial Neural Networks
- Equalisation
- Computational Complexity
- Noise Resilience