Results for Neural Ordinary Differential Equations Inspired Parameterization of Kinetic Models

Results from the computational experiments on simulated and experimental time-series data as described in the <em>paper Neural Ordinary Differential Equations Inspired</em><em>Parameterization of Kinetic Models. </em>Details on the experiments can be found in the readme of https://github.com/AbeelLab/jaxkineticmodel

本数据集的计算实验结果基于模拟与实测时序数据生成，相关实验细节已在论文《受神经常微分方程（Neural Ordinary Differential Equations）启发的动力学模型参数化》中进行说明。实验的详细信息可查阅仓库 https://github.com/AbeelLab/jaxkineticmodel 的README文档。