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
Wire Loss Prediction Method Based on GA-ELM for Distributio..:
, In:
Proceedings of the 2024 International Conference on Machine Intelligence and Digital Applications
,
Feng, Teng
;
Gu, Songlin
;
Liu, Wenxuan
.. - p. 369-373 , 2024
Link:
https://dl.acm.org/doi/10.1145/3662739.3669912
RT T1 <cTitle>Proceedings of the 2024 International Conference on Machine Intelligence and Digital Applications</cTitle>: T1 <Title>Wire Loss Prediction Method Based on GA-ELM for Distribution Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3669912&Exemplar=1&LAN=DE A1 Feng, Teng A1 Gu, Songlin A1 Liu, Wenxuan A1 Yang, Zenan A1 Li, Jinchao PB ACM YR 2024 K1 distribution network line loss prediction K1 extreme learning machine K1 genetic algorithm K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms SP 369 OP 373 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3662739.3669912 DO https://dl.acm.org/doi/10.1145/3662739.3669912 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
