BriefGPT.xyz
Feb, 2022
学习连续物理模型
Learning continuous models for continuous physics
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Aditi S. Krishnapriyan, Alejandro F. Queiruga, N. Benjamin Erichson, Michael W. Mahoney
TL;DR
通过运用数值分析理论建立的收敛性测试方法,验证机器学习模型是否准确地学习了某个系统本质的连续动力学过程,成功的模型能够更好地插值和外推,为科学预测提供更精确的数学手段。
Abstract
dynamical systems
that evolve continuously over time are ubiquitous throughout science and engineering.
machine learning
(ML) provides data-driven approaches to model and predict the dynamics of such systems. A c
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