DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006558
URN to cite this document: urn:nbn:de:bvb:703-epub-6558-0
URN to cite this document: urn:nbn:de:bvb:703-epub-6558-0
Title data
Pechmann, Stefan ; Mai, Timo ; Potschka, Julian ; Reiser, Daniel ; Reichel, Peter ; Breiling, Marco ; Reichenbach, Marc ; Hagelauer, Amelie:
A Low-Power RRAM Memory Block for Embedded, Multi-Level Weight and Bias Storage in Artificial Neural Networks.
In: Micromachines.
Vol. 12
(2021)
Issue 11
.
- No. 1277.
ISSN 2072-666X
DOI der Verlagsversion: https://doi.org/10.3390/mi12111277
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Project information
Project title: |
Project's official title Project's id Open Access Publizieren No information |
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Further data
Item Type: | Article in a journal |
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Keywords: | ANN; low-power; embedded memory; memory block; multi-level; RR |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Communication Electronics Faculties Faculties > Faculty of Engineering Science |
Language: | English |
Originates at UBT: | Yes |
URN: | urn:nbn:de:bvb:703-epub-6558-0 |
Date Deposited: | 26 Jul 2022 10:09 |
Last Modified: | 26 Jul 2022 10:09 |
URI: | https://epub.uni-bayreuth.de/id/eprint/6558 |