9 citations · 9 across the 2 of their papers we have counts for
2 papers
math.NA2022
Discovery of subdiffusion problem with noisy data via deep learning
Xingjian Xu, Minghua Chen
Data-driven discovery of partial differential equations (PDEs) from observed data in machine learning has been developed by embedding the discovery problem. Recently, the discovery…
cs.LG2021★ 9 cited
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Tianyu Zhao, Xiang Pan, Minghua Chen +1
Ensuring solution feasibility is a key challenge in developing Deep Neural Network (DNN) schemes for solving constrained optimization problems, due to inherent DNN prediction error…