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
Fault prediction for distribution network based on CNN and ..:
, In:
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
,
Min, Fan
;
Yaling, Liu
;
Xi, Zhang
... - p. 1020-1026 , 2019
Link:
https://doi.org/10.1109/ICEMI46757.2019.9101423
RT T1 <cTitle>2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)</cTitle>: T1 <Title>Fault prediction for distribution network based on CNN and LightGBM algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9101423&Exemplar=1&LAN=DE A1 Min, Fan A1 Yaling, Liu A1 Xi, Zhang A1 Huan, Chen A1 Yaqian, Hu A1 Libo, Fan A1 Qing, Yang YR 2019 K1 Feature extraction K1 Prediction algorithms K1 Predictive models K1 Classification algorithms K1 Data models K1 Convolution K1 Windows K1 fault prediction K1 distribution network K1 CNN K1 LightGBM K1 time-series data SP 1020 OP 1026 LK http://dx.doi.org/https://doi.org/10.1109/ICEMI46757.2019.9101423 DO https://doi.org/10.1109/ICEMI46757.2019.9101423 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
