physics-informed-fire-prediction-occurrence
Public利用结构化火险指数(ISI、FFMC、DMC、DC、BUI、FWI)和潜在聚类,进行基于物理信息的火灾发生预测。该模型实现了一个可解释的神经网络模型,用于预测ISI。这是基于物理科学的模块化火灾传播建模框架的第一阶段。最终实现了100%的准确率。
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利用结构化火险指数(ISI、FFMC、DMC、DC、BUI、FWI)和潜在聚类,进行基于物理信息的火灾发生预测。该模型实现了一个可解释的神经网络模型,用于预测ISI。这是基于物理科学的模块化火灾传播建模框架的第一阶段。最终实现了100%的准确率。