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作 者:沈纲祥[1] SHEN Gangxiang(Suzhou Key Laboratory of Advanced Optical Communication Network Technology,Soochow University,Suzhou 215006,China)
出 处:《通信学报》2020年第1期162-168,共7页Journal on Communications
基 金:国家重点研发计划基金资助项目(No.2018YFB1801701);国家自然科学基金资助项目(No.61671313);江苏省优势学科基金资助项目~~
摘 要:针对人工智能(AI)技术在光通信网络中的应用进行探讨。主要介绍了AI技术代表性应用和光通信网络开放性导致的AI技术失效的潜在风险,并针对这些风险提出了一些应对策略,主要包括通过单元化小型化的AI系统建模,与传统经典网络建模和规划方法相结合,提高AI技术的有效性和可解释性。同时,针对AI技术可能失效和遭受攻击提出了基于网络保护的应对策略。The applications of artificial intelligence(AI) technique in optical communication networks were explored. Some representative AI applications and potential risks due to the failure of the AI technique were discussed. To address these risks, methods including systematic AI modeling through unitizing and miniaturizing sub-systems and cooperation with traditional network modeling and planning methods were proposed, which were expected to help improve the effectiveness and practicality of the application of the AI technique. Finally, to recover a system from the failure of its employed AI technique or attacks, some protection strategies were proposed.
关 键 词:人工智能 光通信网络 服务水平协议 黑盒子 辅助性 决策性
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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