4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023
PDE Discovery for Soft Sensors Using Coupled Physics-Informed Neural Network with Akaike's Information Criterion
Aina Wang, Pan Qin, Xi-Ming Sun
Soft sensors have been extensively used to monitor key variables using easy-to-measure variables and mathematical models. Partial differential equations (PDEs) are model candidates…
cs.LG2023★ 4 cited
Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors
Aina Wang, Pan Qin, Xi-Ming Sun
Partial differential equations (PDEs) are a model candidate for soft sensors in industrial processes with spatiotemporal dependence. Although physics-informed neural networks (PINN…