An intelligent and integrated system of network fault management: artificial intelligence technologies and hybrid architectures
An intelligent and integrated system of network fault management: artificial intelligence technologies and hybrid architectures
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智能集成的网络故障管理系统：人工智能技术和混合架构
DOI：
10.1109/sicon.1995.526059
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
G. Beuchot
中科院分区：
文献类型：
--
作者：
S. Jiang;D. Siboni;A. A. Rhissa;G. Beuchot
专家系统被成功地引入网络管理已有几年了。但是，他们在应对网络配置的演变和这一领域的特点是缺乏专业知识方面表现出一些局限性。本文通过对基于模型的专家系统、神经网络、基于案例的推理等人工智能技术的研究，提出了一个智能化的、集成化的故障管理系统。混合体系结构也被研究，以将这种不同的技术集成到一个全球管理系统。
Expert systems have been successfully introduced into network management for some years. But they have showed some limits in coping with the evolution of network configurations and poor expertise which is characteristic of this domain. We propose, in this paper, an intelligent and integrated fault management system, by studying different artificial intelligence techniques such as model-based expert systems, neural networks, case-based reasoning, which could be used in special tasks in network fault management. Hybrid architectures are also studied to integrate this different techniques into a global management system.