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Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish
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研究磁合器的传输特性,用于水下无线电力传输,基于先前的知识输入神经网络

Jixie Xie1, Chong Zhu1, Xi Zhang1

  • 1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括

本研究介绍了一种神经网络模型,用于预测水下无线电力传输 (UWPT) 磁性合器性能,提高效率和准确性. 该模型准确地预测了相互电感和损失,验证了高效的合器设计.

关键词:
磁性合器是一种磁性合器.功率损失建模的功率损失建模水下无线传输电源的无线传输.

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