Download State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems PDF Free - Full Version
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About State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems
This article discusses how deep learning can be applied to intelligent network traffic control systems to help them better adapt to increasing network traffic loads. Deep learning has the potential to configure and manage networks in a more autonomous way. Specifically, the article proposes using deep learning for intelligent routing. It demonstrates that a deep learning-based routing approach can be more effective than conventional routing strategies. Overall, the article argues that deep learning is a promising technique for network operators to intelligently control traffic in their networks.
Detailed Information
| Author: | ['Luis Dominguez Leiton'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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