CAHR-Net: Condition-Adaptive Hysteresis Reconstruction for Compact and Interpretable Magnetic Core Loss Modeling

arXiv:2609.01991 · cs.LG · Submitted 2026-09-02 · Read on arXiv

cs.LG

Submitted: 2026-09-02

Updated: 2026-09-02

Terminology

• Core — 28× in this paper · explained in 2 episodes
• Accuracy — 22× in this paper · explained in 1 episode
• Hysteresis — 21× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Interpretability — 3× in this paper · explained in 15 episodes
• Parameter Efficiency — 2× in this paper · explained in 3 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

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