A Spatio-Temporal Bayesian Network for Adaptive Risk Management in Territorial Emergency Response Operations
A Spatio-Temporal Bayesian Network for Adaptive Risk Management in Territorial Emergency Response Operations
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用于领土应急响应行动中自适应风险管理的时空贝叶斯网络
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
B. Naticchia
中科院分区：
文献类型：
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作者：
A. Giretti;A. Carbonari;B. Naticchia
因此，贝叶斯模型的可用性是允许应急小组利用贝叶斯网络的反向传播并进行实时诊断的唯一解决方案。换句话说，一旦用户为输出变量设置了期望的状态，网络就能够为相应的输入计算出最可能的状态值，从而帮助辨别如何采取最佳行动，以控制火势的蔓延。同样的工具也可以用于场景分析。
For this reason the availability of a Bayesian model is the only solution capable of allowing emergency squads to exploit the backward propagation of Bayesian networks and perform real-time diagnoses. In other words, once the user sets the desired state for the output variable(s), the network is able to work out the most likely state values for the corresponding input, thereby helping to discern how to act optimally in order to control the spread of fire. The same tool may also be used for scenario analyses.