Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8516262/8535099/08535562.pdf?arnumber=8535562
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Recent Progress in Optical Network Design and Control towards Human-Centered Smart Society;IEICE Transactions on Communications;2024-01-01
2. Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network;International Journal of Communication Systems;2023-05-22
3. Flexible Technologies to Increase Optical Network Capacity;Proceedings of the IEEE;2022-11
4. Scalable node-disjoint and edge-disjoint multiwavelength routing;Physical Review E;2022-04-21
5. Applications of Machine Learning Techniques for What-if Analysis and Network Overload Detection;2022 18th International Conference on the Design of Reliable Communication Networks (DRCN);2022-03-28
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