基于人工智能技术的认知光网络结构及自优化研究

S. Liang
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引用次数: 0

摘要

认知光网络是人工智能技术与网络相结合的中介,也是不断提升网络智能水平的重要网络技术。本文在充分理解认知网络和认知光网络内涵的基础上,从认知网络和感知可选网络的基本条件出发,分析了应用人工智能技术的认知光网络结构,探讨了其自治功能,从而更好地实现网络的自优化和自配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology
Cognitive optical network is the intermediate to combine artificial intelligence technology with network, and also the important network technology to promote network intelligence level constantly. In the paper, it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network, and explores its self-governance functions, so as to better realize the self-optimization and self-configuration of network.
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