An ART2-based dynamic risk management model is proposed by using of clustering technique and neural network knowledge.
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。
In addition, the flow of risk management in software project development is adjusted and dynamic risk management of software project is realized using BNs belief update.
同时，进一步完善了软件项目开发风险管理流程，并利用贝叶斯网络的信念更新过程实现动态软件项目风险管理。
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.
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。
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