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Updated: Sep 17, 2025

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基于人工智能的多目标天线参数调节,使用可变忠实度机器学习

Slawomir Koziel1,2, Anna Pietrenko-Dabrowska3, Stanislaw Szczepanski2

  • 1Engineering Optimization & Modeling Center, Reykjavik University, 102, Reykjavik, Iceland.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种人工智能 (AI) 方法,用于天线设计的多目标优化 (MO),显著降低计算成本. 人工智能方法可以节省大量成本,使先进的天线优化更容易获得.

关键词:
天线工程天线工程人工智能,可变忠实度模拟.基于人工智能的设计.机器学习 机器学习神经网络的神经网络的神经网络代理模拟代理模拟

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