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Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design

  • Published:2020-02 Issue:2 Volume:68 Page:531-542
  • ISSN:0018-9480
  • Container-title:IEEE Transactions on Microwave Theory and Techniques
  • language:
  • Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Feng FengORCID,Na WeicongORCID,Liu Wenyuan,Yan ShuxiaORCID,Zhu Lin,Ma Jianguo,Zhang Qi-JunORCID

Funder

National Natural Science Foundation of China

Scientific Research Project of Tianjin Education Commission

China Postdoctoral Science Foundation

Natural Sciences and Engineering Research Council of Canada

Natural Science Foundation of Tianjin City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Cited by 51 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. Systematic pole-zero sorting method for neuro-TF modeling of electromagnetic response;Optics Express;2024-01-12

2. Advanced EM Optimization Using Adjoint-Sensitivity-Based Multifeature Surrogate for Microwave Filter Design;IEEE Microwave and Wireless Technology Letters;2024-01

3. Feature and EM Sensitivity Co-Assisted Neuro-TF Surrogate Optimization for Microwave Filter Design;IEEE Transactions on Microwave Theory and Techniques;2023-11

4. Artificial Neural Networks for Parametric Electromagnetic Modeling and Optimization;Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning;2023-08-30

5. Feature and EM Sensitivity Co-Assisted Method for Four-Pole Waveguide Filter Design;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15
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