An Efficient Hybrid Sampling Method for Neural Network-Based Microwave Component Modeling and Optimization

Zhen Zhang1; Cheng QS(程庆沙)2; Hongcai Chen3; Fan Jiang3

2020-07

10.1109/LMWC.2020.2995858

IEEE Microwave and Wireless Components Letters   影响因子和分区

1558-1764

Artificial neural networks (ANNs) microwave component modeling and optimization sampling method

SCI ; EI

第一 ; 通讯

20203008963509

Microwave filters ; Microstrip filters ; Optimal systems

Electric Filters:703.2 ; Dielectric Materials:708.1 ; Systems Science:961

ENGINEERING

IEEE

1.Harbin Institute of Technology, Harbin 150001, China, and also with the Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
2.University Key Laboratory of Advanced Wireless Communications of Guangdong Province, Southern University of Science and Technology, Shenzhen 518055, China, and also with the Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
3.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Zhen Zhang,Cheng QS,Hongcai Chen,et al. An Efficient Hybrid Sampling Method for Neural Network-Based Microwave Component Modeling and Optimization[J]. IEEE Microwave and Wireless Components Letters,2020,30(7):625-628.

Zhen Zhang,Cheng QS,Hongcai Chen,&Fan Jiang.(2020).An Efficient Hybrid Sampling Method for Neural Network-Based Microwave Component Modeling and Optimization.IEEE Microwave and Wireless Components Letters,30(7),625-628.

Zhen Zhang,et al."An Efficient Hybrid Sampling Method for Neural Network-Based Microwave Component Modeling and Optimization".IEEE Microwave and Wireless Components Letters 30.7(2020):625-628.