I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Built-In Self-Calibration Scheme for Memristor-Based Spik..:
, In:
2023 International VLSI Symposium on Technology, Systems and Applications (VLSI-TSA/VLSI-DAT)
,
Tung, Chi
;
Hou, Kuan-Wei
;
Wu, Cheng-Wen
- p. 1-4 , 2023
Link:
https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10..
RT T1
2023 International VLSI Symposium on Technology, Systems and Applications (VLSI-TSA/VLSI-DAT)
: T1
A Built-In Self-Calibration Scheme for Memristor-Based Spiking Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10134261&Exemplar=1&LAN=DE A1 Tung, Chi A1 Hou, Kuan-Wei A1 Wu, Cheng-Wen YR 2023 K1 Resistance K1 Microprocessors K1 Memristors K1 Computer architecture K1 Production K1 Analog circuits K1 Very large scale integration K1 AI K1 calibration K1 memristor K1 neuromorphic computing K1 process variation K1 RRAM K1 spiking neural network (SNN) SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134261 DO https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134261 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)