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Updated: Sep 18, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

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机器学习驱动的结构优化一个Bistable射频MEMS交换机的增强射频性能.

J Joslin Percy1, S Kanthamani1, S Mohamed Mansoor Roomi1

  • 1Department of ECE, Thiagarajar College of Engineering, Madurai 625015, India.

Micromachines
|June 27, 2025
PubMed
概括

本研究介绍了用于射频微电力系统 (RF MEMS) 开关的优化I-clamp设计,以提高电子设备的性能. 机器学习显著减少了设计时间,并改善了10 GHz的插入损失和隔离.

关键词:
I-的设计设计.射频MEMS开关是一个RF开关.在XGBoost中使用.激活函数的激活功能两位式的侧面开关是双向的.机器学习是机器学习.结构优化结构优化

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