Surrogate‐based model using auto‐encoder for optimising multi‐band antennas

Surrogate‐based model using auto‐encoder for optimising multi‐band antennas

Abstract This paper suggests an optimisation method to design multi‐band antenna using artificial neural networks. The proposed network, surrogate‐based model using auto‐encoder (SBM‐AE), is composed of two parts, ordinary neural network and auto‐encoder. First, the front neural network predicts the...

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Bibliographic Details
Main Authors: Kwi Seob Um, Nam Jik Kim, Seo Weon Heo
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:IET Microwaves, Antennas & Propagation
Subjects:
auto‐encoder
broadband antennas
neural nets
optimisation
surrogate based model
Online Access:https://doi.org/10.1049/mia2.12288

Internet

https://doi.org/10.1049/mia2.12288

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