Deep Reinforcement Learning-Based Optimal and Fast Hybrid Equalizer Design Method for High-Bandwidth Memory (HBM) Module
In: IEEE Transactions on Components, Packaging and Manufacturing Technology, Jg. 13 (2023-11-01), Heft 11, S. 1804-1816
Online
academicJournal
Zugriff:
Titel: |
Deep Reinforcement Learning-Based Optimal and Fast Hybrid Equalizer Design Method for High-Bandwidth Memory (HBM) Module
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Autor/in / Beteiligte Person: | Choi, S. ; Son, K. ; Park, H. ; Kim, S. ; Sim, B. ; Kim, J. ; Park, J. ; Kim, M. ; Kim, H. ; Song, J. ; Kim, Y. |
Link: | |
Zeitschrift: | IEEE Transactions on Components, Packaging and Manufacturing Technology, Jg. 13 (2023-11-01), Heft 11, S. 1804-1816 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 2156-3950 (print) ; 2156-3985 (print) |
DOI: | 10.1109/TCPMT.2023.3317295 |
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