通过对实际火灾案例的统计分析，提出了火灾发生率的主导统计参数。
Based on the case study of urban fire disaster, the basic statistic parameter of fire disaster frequency is suggested.
他们在《科学》杂志上撰文指出，在森林砍伐减少的地区，火灾发生率增加了59%。
Writing in Science, they said fire occurrence rates had increased in 59% of areas with reduced deforestation.
利用人工神经网络对地震火灾发生率进行非线性预测具有实用价值和理论意义。
To predict the seismic fire in an urban area, this paper tries to put forward a nonlinear means-Artificial Neural Network (ANN).
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