物理启发的多模态特征融合级联网络：数据驱动的磁芯损耗建模

This article proposes a physics-inspired multimodal feature fusion cascaded network (PI-MFF-CN) for data-driven magnetic core loss modeling based on MagNet database. The proposed methodology consists of two cascaded submodels: the physics-inspired network model and the multimodal feature fusion network model. First, a network model inspired by physics and related micromagnetism, is developed based...