hazard degree evaluation 危险度评价
fire hazard degree 火灾危险度
hazard degree analysis 危险度分析
landslide hazard degree 滑坡危险度
potential hazard degree 侵蚀后果危险度
hazard degree assessment 危险度评价
hazard degree of debris 泥石流危险度
The results show that the generalized regression neural network model presents excellent network performance,high prediction accuracy,and is an effective way to evaluate the sand liquefaction hazard degree.
结果表明,广义回归神经网络性能良好、预测精度高,是砂土地震液化危害等级评价的一种有效方法。
参考来源 - 基于GRNN的砂土液化危害等级评价模型研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This method can assess the hazard degree of various hazards simply and clearly.
利用这种方法，可以简单直观地对各种地质灾害进行危害程度的评价。
Thus it appears especially important to accurately evaluate the characteristics, stability and hazard degree of the slope.
因此，对其特征稳定性及危害程度进行准确评价显得尤为重要。
Expand the direct criteria such as characteristic parameter to the indirect criteria such as the fire hazard degree and fire disaster damage degree.
并把火灾探测算法的判据，从特征参数等直接性判据，扩展到区域火灾危险度等间接性判据。
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