Results
eNauka >
Results >
GaN HEMT Small-Signal Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks
![](https://cdn3.iconfinder.com/data/icons/flat-actions-icons-9/512/Tick_Mark-256.png)
Title: | GaN HEMT Small-Signal Modeling Using an Optimization Strategy Based on Gated Recurrent Unit Networks | Authors: | Cai, Jialin; Gugliandolo, Giovanni; Marinković, Zlatica ![]() ![]() |
Issue Date: | 2023 | Publication: | 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) | Type: | Conference Paper | ISBN: | 979-8-3503-0080-2![]() ![]() |
Collation: | str. 422-426 | DOI: | 10.1109/MetroXRAINE58569.2023.10405657 | Scopus-ID: | 2-s2.0-85179757101 | URI: | https://enauka.gov.rs/handle/123456789/889109 | Metadata source: | (Preuzeto iz CrossRef-a) Marinković, Zlatica | M-category: | Mp. category will be shown later |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.