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Neuro-Transfer Function for Electromagnetic Modeling

delete2025-08-19
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PRE
AI
W
Wei Liu
F
Feng Feng
J
Jing Jin
Q
Qi‐Jun Zhang
DOI:10.1109/MMM.2025.3556156delete
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Abstract

Abstract

En 中文
Neuro-transfer function (neuro-TF), as an emerging and rapidly developing electromagnetic (EM) parametric modeling technique over the past decade, has been drawing increasing attention. This paper provides a brief overview of the development history and the latest advancements in this field, with a particular focus on the recent compact embedded neruo-TF. Most importantly, this paper offers a unified perspective to deeply analyze the fundamental reasons behind the effectiveness of neuro-TF. Finally, the future research trends in this area are discussed.
Keywords:
Transfer functions
Parametric statistics
Polynomials
Biological neural networks
Frequency-domain analysis
Data models
Neurotransmitters
Electromagnetic modeling
Parametric statistics

Journal

IEEE Microwave Magazine cover
IEEE Microwave Magazine
IF:
2.6
Papers:
3.2K
Citations:
3.1K

Organization

C
Carleton University
Scholars:
1.0K
Papers: 602
Citations: 7.8K
T
tianjin university
Scholars:
8.0W
Papers: 5.8W
Citations: 88
C
central china normal university
Scholars:
2.8K
Papers: 1.0K
Citations: 0
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Cited Papers

Cited Papers

Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Hybrid-Based Transfer Functions
err2020-01-01
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errOAAI
errZhao, Zhihao; Feng, Feng; Zhang, Wei; Zhang, Jianan; Jin, Jing; Zhang, Qi-Jun
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Orthogonal Arrays
err1999-01-01
err0
PREAI
errA. S. Hedayat; N. J. A. Sloane; John Stufken
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Adaptive Feature Zero Assisted Surrogate-Based EM Optimization for Microwave Filter Design
err2019-01-01
err0
PREAI
errFeng Feng; Chao Zhang; Weicong Na; Jianan Zhang; Wei Zhang; Qi-Jun Zhang
errShare
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researcher View more