Bayesian-inspired sampling for efficient machine-learning-assisted microwave component design
Machine learning (ML) has demonstrated significant potential in accelerating the design of
microwave components owing to its great ability to approximate the projection between …
microwave components owing to its great ability to approximate the projection between …
A high-quality data acquisition method for machine-learning-based design and analysis of electromagnetic structures
Electromagnetic (EM) structures play a significant role in wireless communication, radar
detection, medical imaging, and so on. Machine learning (ML) has been increasingly …
detection, medical imaging, and so on. Machine learning (ML) has been increasingly …
Efficient radiation pattern prediction of array antennas based on complex-valued graph neural networks
J Jin, Q Su, Y Xu, Z He, Y Lu - IEEE Antennas and Wireless …, 2022 - ieeexplore.ieee.org
Antenna design with the traditional numerical methods is a highly computationally
expensive task. In this letter, a complex-valued graph neural network (GNN) with residual …
expensive task. In this letter, a complex-valued graph neural network (GNN) with residual …
[PDF][PDF] Machine learning-assisted design and analysis of electromagnetic structures
Z Zhou - 2023 - vbn.aau.dk
Electromagnetic structures play a crucial role in diverse applications, yet conventional
design and analysis methods suffer from reliance on experience, labor-intensive processes …
design and analysis methods suffer from reliance on experience, labor-intensive processes …
Beam Steering for Array Antenna Based on Deep Learning
Z Liang, H Gao, C Jin, J Deng - 2023 International Applied …, 2023 - ieeexplore.ieee.org
In this paper, we propose an algorithm based on deep learning for beam steering with an
array antenna. Array factors are often used for beam steering problems, but because array …
array antenna. Array factors are often used for beam steering problems, but because array …