通过概念聚类识别孤立点，运用规划识别技术和贝叶斯因果网络实现目标的预测、识别，最终实现系统自学习。

The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.

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运用贝叶斯理论及方法，建立了网络系统风险的动态评估模型。

Based on Bayesian theory and concerning approaches, this paper establishes an evaluating model and gives the corresponding method to evaluate dynamically the network risk.

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文中运用面向对象的VC编程环境，编制了基于贝叶斯网络的态势威胁评估系统模块的图形化仿真软件。

Finally, the software was made, in the VC program environment, about the emulation mode of combine the situation assessment and threat estimate with the Bayesian net.

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