...检测是指入侵检测系统框架持续采样各种各样的系统参数指 标，采用机器学习（machine learning）和时序推理（temporal reasoning）的方法分析采集的数据。
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Starting from reality and possibility,this article,based on taking account of time of protection movement model,using probability prioritization strategy and combining analytical method of transient stability with fault path search strategy rested on temporal reasoning,propose a more effective search method.
本文采用概率优先排序的搜索策略从现实的可能性出发,在考虑保护动作模型时间属性的基础上,将系统暂态稳定的概率分析方法与基于时序推理策略的故障路径搜索策略相结合,提出一种更加及时有效的搜索方法。
参考来源 - 基于时序理论的连锁故障模式搜索方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
该模型基于时序推理思想，给出了考虑时序性的故障路径搜索策略，从而使模型具有时序特征。
Based on temporal reasoning thought, the model proposed fault path search strategy considering time sequence, which enabled the model to have temporal characteristic.
其次，研究了常用的时序数据趋势分析模型，并对它们的推理过程和适用性进行了详细的阐述。
Secondly, time series trend analysis models in common use are introduced, whose illative process and applicability are also expatiated.
具有分支时序的主体BDI模型没有一个统一的时间度量与现实中的时间相对应，不方便进行关于时间相关目标的推理和实现基于时间相关目标的协同。
Owing to the lack of a unified time metric in the BDI model with branching temporal, agents can not make decisions about the goals with time requests and coordination based on such goals.
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