该团队证明了IBM SPSS Modeler通过动态计算置信度和在需要时生成警告，提供了自动化实时故障预测的能力。
The team demonstrated that IBM SPSS Modeler provides the capability to automate failure predictions in real time by calculating confidences on the fly and generating alerts when needed.
实时、准确的交通量预测是实现动态交通流控制及诱导的前提和基础。
The accurate real-time forecast of traffic volume is the premise and basement of the dynamic traffic control and guidance.
同时针对影响内阻变化的因素太多且不确定的情况，提出了实时在线的方法建立起动态新息的GM(1,1)预测模型。
Because many uncertain factors impact the internal resistance, this paper give a real time method and establish a dynamic innovation forecast model of GM (1, 1).
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