1D Poisson equation benchmark

该数据集包含了数值示例，展示了提出的架构在解决一维泊松方程时的性能表现。此外，其他信息表明，这些结果可以使用公开可获得的代码进行复现。网络是通过设置特定超参数的随机梯度下降法进行训练的。该任务旨在使用物理信息神经网络来解决一维泊松方程问题。

This dataset comprises numerical examples that demonstrate the performance of the proposed architecture when solving the one-dimensional Poisson equation. Additionally, supplementary information indicates that these results are reproducible using publicly available code. The network is trained via stochastic gradient descent with specific hyperparameters. This task aims to solve the one-dimensional Poisson equation problem using Physics-Informed Neural Networks.