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
Recurrent neural network based user classification for smar..:
, In:
2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
,
Tornai, Kalman
;
Olah, Andras
;
Drenyovszki, Rajmund
... - p. 1-5 , 2017
Link:
https://doi.org/10.1109/ISGT.2017.8086043
RT T1
2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
: T1
Recurrent neural network based user classification for smart grids
UL https://suche.suub.uni-bremen.de/peid=ieee-8086043&Exemplar=1&LAN=DE A1 Tornai, Kalman A1 Olah, Andras A1 Drenyovszki, Rajmund A1 Kovacs, Lorant A1 Pinte, Istvan A1 Levendovszky, Janos YR 2017 SN 2472-8152 K1 Time series analysis K1 Recurrent neural networks K1 Hidden Markov models K1 Training K1 Buildings K1 Data models SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISGT.2017.8086043 DO https://doi.org/10.1109/ISGT.2017.8086043 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)