Machine Learning-Based Approximation of MOSFET DC and Small-Signal Characteristics from LTspice Simulation
This study investigates the feasibility of using simple regression-based machine learning models to approximate MOSFET Direct Current and small-signal characteristics obtained from LTspice simulations and shows that polynomial regression achieves very high fitting accuracy.