论文标题
使用神经网络预测地震强度分布
Prediction of Seismic Intensity Distributions Using Neural Networks
论文作者
论文摘要
地面运动预测方程通常用于预测地震强度分布。但是，将这种方法应用于受地下板板结构影响的地震分布并不容易，这些地震分布通常称为异常地震分布。这项研究提出了使用神经网络进行回归和分类方法的混合体。提出的模型将分布视为二维数据，如图像。我们的方法可以准确预测地震强度分布，甚至异常分布。
The ground motion prediction equation is commonly used to predict the seismic intensity distribution. However, it is not easy to apply this method to seismic distributions affected by underground plate structures, which are commonly known as abnormal seismic distributions. This study proposes a hybrid of regression and classification approaches using neural networks. The proposed model treats the distributions as 2-dimensional data like an image. Our method can accurately predict seismic intensity distributions, even abnormal distributions.
