Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

Author:

Koziel Slawomir

Funder

Icelandic Centre for Research (RANNIS)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improved efficacy behavioral modeling of microwave circuits through dimensionality reduction and fast global sensitivity analysis;Scientific Reports;2024-08-22

2. Rapid Surrogate-Aided Multicriterial Optimization of Compact Microwave Passives Employing Machine Learning and ANNs;IEEE Transactions on Microwave Theory and Techniques;2024-08

3. A Novel Intelligent Antenna Synthesis Method Based on Deep Neural Network;2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa);2024-05-20

4. Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response features;Scientific Reports;2024-03-15

5. Artificial Intelligence Based Deep Learning Surrogate Model for Design Optimization of Microstrip Frequency Selective Surface;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

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