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

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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Hlavní autoři: Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, Stavros V. Georgakopoulos
Médium: Článek
Jazyk:English
Vydáno: IEEE 2024-01-01
Edice:IEEE Access
Témata:
Antennas
electromagnetics
deep learning
surrogate modeling
On-line přístup:https://ieeexplore.ieee.org/document/10472507/

Internet

https://ieeexplore.ieee.org/document/10472507/

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