Machine learning‐driven design of dual‐band antennas using PGGAN and enhanced feature mapping

Abstract This paper presents a systematic antenna design methodology that integrates machine learning, leveraging the progressive growth technique of Progressive Growing of GANs (PGGAN) to generate images of various dual‐band PIFA‐like antenna structures. The process involves using data augmentation...

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Bibliographic Details
Main Authors: Lung‐Fai Tuen, Ching‐Lieh Li, Yu‐Jen Chi, Chien‐Ching Chiu, Po Hsiang Chen
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Microwaves, Antennas & Propagation
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Online Access:https://doi.org/10.1049/mia2.12534
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