2026-10-14T19:39:22Z https://www.scidb.cn/oai

10.57760/sciencedb.07621 2023-03-13T15:13:41Z

2023-03-13 Performance of three solvers(WDL-PDE,R-WDL-PDE and DRNN-WS-PDE ) on Allen-Cahn equation doi:10.57760/sciencedb.07621 en These data (that is, the solution, the loss，the CPU time and their respective standard deviations) describe the performances of three solvers, i.e., WDL-PDE, R-WDL-PDE and DRNN-WS-PDE, on Allen-Cahn equation. The run times is set to 100. All experiments are carried out independently. Numerical results output from three solvers are listed.To ensure good comparability, the number of logic operation neural units contained in DRNN-WS-PDE solver and WDL-PDE solver are kept the same; and the same random seed is used to generate the path in experiments. Besides, all experiments are conducted on the same platform, i.e., Google colab equipped with 12.7 GBP virtual memory (RAM) and Python 3.8’s TensorFlow 2.11.0 library. mean_y0; mean_loss; mean_time; std_y0; std_loss; std_time Sun, Youfa RESTRICTED dataset Science Data Bank