Abstract
We review application of machine learning methods to tackle fiber linear/nonlinear impairments as well as to estimate crucial signal parameters in optical networks. Recent works involving hierarchical learning approaches are also discussed.
| Original language | English |
|---|---|
| Title of host publication | Advanced Photonics, SPPCom 2017 |
| Publisher | OSA - The Optical Society |
| Volume | Part F59-SPPCom 2017 |
| ISBN (Electronic) | 9781557528209 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Event | Advanced Photonics, SPPCom 2017 - New Orleans, United States Duration: 24 Jul 2017 → 27 Jul 2017 |
Conference
| Conference | Advanced Photonics, SPPCom 2017 |
|---|---|
| Country/Territory | United States |
| City | New Orleans |
| Period | 24/07/17 → 27/07/17 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials
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