结合聚类技术和ART2神经网络技术提出一个基于ART2神经网络的动态风险管理模型。
An ART2-based dynamic risk management model is proposed by using of clustering technique and neural network knowledge.
如图1中所示，它以动态方式根据工作流和更改跟踪标准从这些Web服务获得其风险管理资源的反馈信息。
As shown in Figure 1, it gets feedback dynamically from them for its Risk Management resources according some workflow and change tracking criteria.
因为组合以及它们的环境是动态的，在整个组合的生命周期内，管理人员应当在一个有序的基础上，评审并更新他们的组合风险管理计划。
Since portfolios and their environments are dynamic, managers should review and update their portfolio risk management plans on a regular basis throughout the portfolio lifecycle.
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