| 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 url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9865421 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/401524 |
| Department | Department 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.
|
| Files in This Item: | There are no files associated with this item. | |||||
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