Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters-Reference-Cited by-同舟云学术

Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters

Published:2022-11 Issue:11 Volume:70 Page:4652-4665
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Zhuo Yan¹^ORCID,Feng Feng¹^ORCID,Zhang Jianan²^ORCID,Zhang Qi-Jun³^ORCID

Affiliation:

1. School of Microelectronics, Tianjin University, Tianjin, China

2. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China

3. Department of Electronics, Carleton University, Ottawa, Canada

Funder

National Natural Science Foundation of China

Key Research and Development and Transformation Project of Qinghai Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://xplorestaging.ieee.org/ielx7/22/9939118/09908298.pdf?arnumber=9908298

Reference34 articles.

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2. Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate

3. Design and integration of a high-order hairpin bandpass filter with a spurious suppression circuit

4. Introduction to Applied Linear Algebra

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