Yilin Ma

An Optimized Boundary to Characterize the Relationship between Training Data Quantity and Neural Network Accuracy in Describing Variable Parameters of PMSMs

2024

In recent years, there is a growing interest in utilizing neural networks (NNs) to model the motor variable parameters, due to their excellent performance in nonlinear fitting. However, it is quite difficult to precisely establish …