PDE dataset

该数据集包含了多种示例，包括线性与非线性、时变与时不变的偏微分方程（PDEs），这些方程被用于训练和评估所提出的神经网络架构。该数据集是通过使用DeepXDE软件包生成的，该软件包在点生成时设置了随机种子12345，并涉及多种神经网络架构配置。数据集规模为100个验证数据点，任务是用神经网络解决偏微分方程问题。

This dataset contains various examples, including linear and nonlinear, time-varying and time-invariant partial differential equations (PDEs), which are employed for training and evaluating the proposed neural network architecture. The dataset is generated using the DeepXDE software package, where a random seed of 12345 was set during the point generation procedure, and multiple neural network architecture configurations are involved. This dataset comprises 100 validation data points, with the core task of solving partial differential equation problems via neural networks.