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
Spiking Neural Network Transformer for Deploying into a Dee..:
, In:
Proceedings of the International Conference on Research in Adaptive and Convergent Systems
,
Han, Chan Sik
;
Lee, Keon Myung
- p. 82-83 , 2020
Link:
https://dl.acm.org/doi/10.1145/3400286.3418272
RT T1
Proceedings of the International Conference on Research in Adaptive and Convergent Systems
: T1
Spiking Neural Network Transformer for Deploying into a Deep Learning Framework
UL https://suche.suub.uni-bremen.de/peid=acm-3418272&Exemplar=1&LAN=DE A1 Han, Chan Sik A1 Lee, Keon Myung PB ACM YR 2020 K1 Brain-inspired network K1 Simulator K1 Spiking neural networks K1 artifcial intelligence K1 Computing methodologies K1 Modeling and simulation K1 Simulation types and techniques SP 82 OP 83 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3400286.3418272 DO https://dl.acm.org/doi/10.1145/3400286.3418272 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)