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Download Deep Neural Network Based Wavelength Selection and Switching in ROADM Systems by ['Nabil Bouzegaoui'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Neural Network Based Wavelength Selection and Switching in ROADM Systems
This document discusses using a deep neural network to predict power dynamics during wavelength switching operations in ROADM systems. It trains a neural network model using data from a 90-channel multi-hop ROADM system. The trained model can then recommend wavelength assignments for switching with minimal power excursions, avoiding service disruptions, with over 99% precision. Previous approaches to address this issue relied on specialized hardware or systems, while machine learning provides a more flexible solution.
Detailed Information
| Author: | ['Nabil Bouzegaoui'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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