A Deep Learning Convolutional Neural Network for Antenna Near-Field Prediction and Surrogate Modeling

This study investigates the use of deep learning techniques for building a generalized surrogate model that can accurately and very efficiently predict antenna performance parameters. Notably, we focus on applications where a substantial amount of simulation time is required and prior data is availa...

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Bibliografske podrobnosti

Principais autores:	Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, Stavros V. Georgakopoulos
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Antennas electromagnetics deep learning surrogate modeling
Online dostop:	https://ieeexplore.ieee.org/document/10472507/
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