基于有限实验数据的机器学习代理模型之锰锌铁氧体磁芯损耗制造特定仿真

Mn-Zn ferrite is widely used as a core material in power electronic applications. However, core-loss modeling is challenging owing to the complexity of core-loss mechanisms and associated factors. The scarcity of experimental data is another significant impediment to the development of Mn-Zn ferrites. In this study, we propose a novel data-driven framework to construct an effective machine learnin...