典型文献
Editorial
文献摘要:
Over the past few decades,the demand for the capacity and reliability of optical networks has continued to grow,i.e.,the optical network is expected to be more resource-efficient and more reliable.In the meantime,optical networks with larger knowledge scales have become sources of numerous heterogeneous data.Accordingly,many issues using traditional algorithms show some shortcomings,such as power optimization,routing and wavelength assignment,failure management,etc.Fortunately,the application of artificial intelligence(AI)techniques for improving performance of optical communication systems and networks is regarded as one of the most promising methods to overcome the shortcomings mentioned above.
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引用格式:
[1]-.Editorial)[J].中国邮电高校学报(英文版),2022(06):1-2
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Editorial,Over,past,few,decades,demand,capacity,reliability,optical,networks,has,continued,grow,expected,more,resource,efficient,reliable,In,meantime,larger,knowledge,scales,have,become,sources,numerous,heterogeneous,data,Accordingly,many,issues,using,traditional,algorithms,show,some,shortcomings,such,power,optimization,routing,wavelength,assignment,failure,management,etc,Fortunately,application,artificial,intelligence,techniques,improving,performance,communication,systems,regarded,most,promising,methods,overcome,mentioned,above
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0.732584
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