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Parametric Modeling of Four-Pole Waveguide Filter Integrating Neural Networks and MOR-Based Rational Transfer Functions

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成果类型:
会议论文
作者:
Fang Gao;Feng Feng;Jianan Zhang;Jing Jin;Kaixue Ma;...
作者机构:
[Fang Gao; Feng Feng; Kaixue Ma] School of Microelectronics, Tianjin University, Tianjin, China
[Jianan Zhang] State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
[Jing Jin] College of Physical Science and Technology, Central China Normal University, Wuhan, China
[Qi-Jun Zhang] Department of Electronics, Carleton University, Ottawa, ON, Canada
语种:
英文
关键词:
Parametric modeling;neural networks;rational transfer function;model-order reduction
年:
2023
页码:
1-3
会议名称:
2023 IEEE MTT-S International Wireless Symposium (IWS)
会议论文集名称:
2023 IEEE MTT-S International Wireless Symposium (IWS)
会议时间:
14 May 2023
会议地点:
Qingdao, China
出版者:
IEEE
ISBN:
979-8-3503-3654-2
机构署名:
本校为其他机构
院系归属:
物理科学与技术学院
摘要:
Neuro-transfer function (neuro-TF) methods are increasingly applied in the parametric modeling of microwave passive devices. Current neuro-TF methods based on poles/residues have the problem of poles/residues discontinuity when the geometry varies widely, and neuro-TF methods based on poles/zeros form require specific algorithms for ordering or poles/zeros matching. The neuro-TF method based on rational transfer functions proposed in recent years solves the above three problems simultaneously. The purpose of this paper is to apply the MOR-based neuro-TF method ...

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