May 14, 2024Applied and Computational EngineeringOpen Access

Integration of computer networks and artificial neural networks for an AI-based network operator

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BWBinbin WuShanghai Normal University JXJingyu XuSouth China Agricultural University YZYifan ZhangLiaoning University

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Implication

Simulation study demonstrates an automated neural network operator achieving 100% accuracy in computer network management, highlighting potential to eliminate operational risks.

Key Points

An intelligent network operator combining computer networks and artificial neural networks achieved a 100% accuracy rate during comprehensive operational testing.
State information was converted into embedded vectors within an automated computer network simulator designed for continuous data collection, training, and evaluation.
Automated artificial neural networks eliminate operational risks in network management, providing a reliable foundation for end-to-end autonomous network control.

Cite This Study

Wu et al. (2024) studied this question.

synapsesocial.com/papers/68e6a273b6db643587625ce4 https://doi.org/10.54254/2755-2721/64/20241370

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Implication

Simulation study demonstrates an automated neural network operator achieving 100% accuracy in computer network management, highlighting potential to eliminate operational risks.

Integration of computer networks and artificial neural networks for an AI-based network operator

Discussion

Member takes

Implication

Key Points

Cite This Study

Integration of computer networks and artificial neural networks for an AI-based network operator

Discussion

Member takes

Implication

Key Points

Cite This Study

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