id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
6q182j65w0d	Yihao Hu	Data-Driven Approaches for Differential Equation Governing Systems	2022		.txt	text/plain	314	14	41	To tackle the training issue in learning switch systems with imbalanced scales, we propose a novel PINN-based neural network model that resolves the training issue of regular PINN in learning nonlinear switch systems. This dissertation explores data-driven methods in modeling and predicting differential equation governing systems.	cache/6q182j65w0d.txt	txt/6q182j65w0d.txt