Fast Design of Metasurface-based Microwave Absorber Using the Neuro-TF Approach
Author:
Affiliation:
1. Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221213/10220948/10221266.pdf?arnumber=10221266
Reference8 articles.
1. A Novel Training Approach for Parametric Modeling of Microwave Passive Components Using Padé via Lanczos and EM Sensitivities
2. Adaptively Weighted Yield-Driven EM Optimization Incorporating Neurotransfer Function Surrogate With Applications to Microwave Filters
3. Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions
4. A uniform time-domain finite integration technique (TDFIT) using an efficient extraction of conformal information
5. Rapid Yield Estimation of Microwave Passive Components Using Model-Order Reduction Based Neuro-Transfer Function Models
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1. Performance Study of Different Evolutionary Algorithms for Coding Metasurface Design;2024 IEEE International Conference on Computational Electromagnetics (ICCEM);2024-04-15
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