提出了一种基于单步预测的多级影响图法，并将该理论应用在单机连续空战机动决策系统建模中。
A multistage influence diagram game based on one-step prediction is put forward for modeling the maneuvering decisions of UCAV in air combat.
提出一种基于人工神经网络的决策集影响图拓扑层自动生成新方法。
This paper puts forwards a new method based on artificial neural networks used for formulating topological layer of influence diagrams in decision class analysis.
那么决策树模型又是如何根据可视化影响图网中的结构逐渐形成的呢？
Now consider how a decision tree model can be built of the decision structure visualized in the influence diagram.
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