Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling

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成果类型：

期刊论文

作者：

Faraji, Amin;Sadrossadat, Sayed Alireza;Jin, Jing;Na, Weicong;Feng, Feng;...

通讯作者：

Jin, J

作者机构：

[Faraji, Amin; Sadrossadat, Sayed Alireza] Yazd Univ, Dept Comp Engn, Yazd 8915818411, Iran.

[Jin, Jing] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.

[Na, Weicong] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China.

[Feng, Feng] Tianjin Univ, Sch Microelect, Tianjin 300072, Peoples R China.

[Zhang, Qi-Jun] Carleton Univ, Dept Elect, Ottawa, ON K1S 5B6, Canada.

通讯机构：

[Jin, J ] C

Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

Couplings;Batch normalization;deep learning;deep neural networks;high dimension;microwave modeling;polynomial regression;parameter extraction

期刊：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

ISSN：

1549-8328

年：

2024

卷：

期：

页码：

1245-1258

DOI：

10.1109/TCSI.2023.3340219

基金类别：

10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62271014, 62301229 and 62331018) 10.13039/501100003819-Nature Science Foundation of Hubei Province (Grant Number: 2023AFB320) 10.13039/501100019615-Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology Knowledge Innovation Program of Wuhan-Shuguang Project (Grant Number: 2022010801020290)

机构署名：

本校为通讯机构

院系归属：

物理科学与技术学院

摘要：

This paper proposes a new hybrid structure and microwave modeling method that combines polynomial regression with batch-normalized deep feedforward neural network (BN-DFN) to be used in high-dimensional microwave circuit modeling. Utilizing the proposed BN-DFN method results in a remarkably faster training procedure compared to the conventional DFN. In addition, the superiority of the BN-DFN method over DFN in terms of accuracy prepares this opportunity to perform high-dimensional microwave modeling using fewer training data in comparison with the modeling with conventional DFN. The results sh...

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Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling

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