A Physics-Guided Neural Network for Multioutput Prediction of Board-Level Thermal Process Parameters in Reflow Soldering
Accurate prediction of board-level thermal process parameters is essential for reflow soldering process control, especially when experimental data are limited. This paper proposes a physics-guided neural network (PGNN) for multioutput prediction of key thermal process parameters in reflow soldering. The model uses conv...