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
Electrified Railway Traction Load Prediction Based on Deep ..:
, In:
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
,
Ma, Qian
;
Peng, Yishuang
;
Luo, Pei
... - p. 4679-4684 , 2020
Link:
https://doi.org/10.1109/IECON43393.2020.9255259
RT T1 <cTitle>IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society</cTitle>: T1 <Title>Electrified Railway Traction Load Prediction Based on Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9255259&Exemplar=1&LAN=DE A1 Ma, Qian A1 Peng, Yishuang A1 Luo, Pei A1 Li, Qianru A1 Sun, Jihao A1 Wang, Hao YR 2020 SN 2577-1647 K1 Load modeling K1 Predictive models K1 Data models K1 Feature extraction K1 Rail transportation K1 Deep learning K1 Biological system modeling K1 electrified railway K1 traction load prediction K1 Convolutional Neural Networks K1 Temporal Convolutional Networks SP 4679 OP 4684 LK http://dx.doi.org/https://doi.org/10.1109/IECON43393.2020.9255259 DO https://doi.org/10.1109/IECON43393.2020.9255259 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
