中文版 | English
Title

Surrogate-based Design and Tuning Methods for RF/Microwave Devices

Author
DOI
Publication Years
2022
ISSN
0149-645X
ISBN
978-1-6654-9614-8
Source Title
Volume
2022-June
Pages
111-114
Conference Date
19-24 June 2022
Conference Place
Denver, CO, USA
Keywords
SUSTech Authorship
Others
URL[Source Record]
Indexed By
EI Accession Number
20223812765048
EI Keywords
Costs ; Knowledge based systems ; Personal computers ; Tuning
ESI Classification Code
Digital Computers and Systems:722.4 ; Expert Systems:723.4.1 ; Cost and Value Engineering; Industrial Economics:911
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9865421
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/401524
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.University of Birmingham, UK
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, P.R. China
3.University of Glasgow, UK
Recommended Citation
GB/T 7714
Yang Yu,Zhen Zhang,Qingsha S. Cheng,et al. Surrogate-based Design and Tuning Methods for RF/Microwave Devices[C],2022:111-114.
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