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Titlebook: Developing Networks using Artificial Intelligence; Haipeng Yao,Chunxiao Jiang,Yi Qian Book 2019 Springer Nature Switzerland AG 2019 machin

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發(fā)表于 2025-3-25 05:46:39 | 只看該作者
Intelligence-Driven Networking Architecture,NetworkAI implements a network state upload link and a decision download link to accomplish a closed-loop control of the network and builds a centralized intelligent agent aiming at learning the policy by interacting with the whole network.
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發(fā)表于 2025-3-25 10:55:30 | 只看該作者
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發(fā)表于 2025-3-25 21:21:01 | 只看該作者
Book 2019vestigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based t
26#
發(fā)表于 2025-3-26 00:44:03 | 只看該作者
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發(fā)表于 2025-3-26 06:53:01 | 只看該作者
https://doi.org/10.1007/978-3-030-15028-0machine learning; software-defined network; reinforcement learning; deep learning; intrusion detection; l
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發(fā)表于 2025-3-26 10:23:45 | 只看該作者
Springer Nature Switzerland AG 2019
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發(fā)表于 2025-3-26 16:04:45 | 只看該作者
Hans-Dietrich Dahnke,Regine Otto, economic operation and society. However, burgeoning megatrends in the information and communication technology (ICT) domain are urging the Internet for pervasive accessibility, broadband connection and flexible management, which call for potential new Internet architectures. The original design ta
30#
發(fā)表于 2025-3-26 17:33:28 | 只看該作者
Hans-Dietrich Dahnke,Regine Ottoware defined network facilitates separation of the control plane from the forwarding plane. However, the work on the control plane largely relies on a manual process in configuring forwarding strategies. To address this issue, in this chapter, we propose NetworkAI, a new network architecture exploit
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