We apply a fully connected neural network to determine the shape of the lacunae in the solutions of the wave equation. Lacunae are the regions of quietness behind the trailing fronts of the propagating waves. The network is trained using a computer simulated data set containing a sufficiently large number of samples. The network is then shown to correctly reconstruct the shape of lacunae including the configurations when it is fully enclosed.
翻译:我们运用一个完全连接的神经网络来确定波形方程式中空白的形状。 疏漏是波浪尾端后面的静静区。 网络使用计算机模拟数据集接受培训, 该数据集包含足够多的样本。 然后显示网络能够正确重建空白的形状, 包括完全封闭时的配置 。