昆明理工大学信息工程与自动化学院
纸质出版:2025
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戴书浩, 孙俊, 彭艺, 等. 神经网络加速PSO算法的超材料吸波体设计[J]. 传感器与微系统, 2025,(2):90-94.
戴书浩, 孙俊, 彭艺, 等. 神经网络加速PSO算法的超材料吸波体设计[J]. 传感器与微系统, 2025,(2):90-94. DOI: 10.13873/J.1000-9787(2025)02-0090-05.
在超材料吸波体的设计过程中,研究人员常采用耗时长的全波仿真方法,设计思路主要以耗时长的参数扫描和经验设计为主。为了减少设计耗时,本文提出了一种基于神经网络加速粒子群优化(PSO)算法的快速设计方法。该方法利用神经网络对超材料吸波体的电磁参数进行准确地预测,其预测结果与仿真结果均方误差(MSE)不超过0.001 1。在PSO算法对结构参数空间进行搜索的过程中,预测结果被用于算法优化过程中的适应度计算,PSO算法能够根据不同的适应度值自动调节结构参数以到达电磁波宽频带吸收的目的。该方法将设计耗时缩短为全波仿真设计耗时的0.3%。通过该方法设计的超材料吸波体在8.5~17.9 GHz频段内的吸波率大于90%
吸波带宽为9.4 GHz。此外该方法优化过程避免了人工干扰,能够移植到超材料的其他应用设计中。
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