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
Ensemble Learning Model for Prediction of Natural Gas Spot ..:
, In:
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
,
Ali, Aliyuda
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/ICDABI51230.2020.9325615
RT T1
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
: T1
Ensemble Learning Model for Prediction of Natural Gas Spot Price Based on Least Squares Boosting Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-9325615&Exemplar=1&LAN=DE A1 Ali, Aliyuda YR 2020 K1 Natural gas K1 Predictive models K1 Prediction algorithms K1 Boosting K1 Data models K1 Oils K1 Production K1 Natural gas spot price K1 ensemble learning K1 least squares boosting algorithm SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICDABI51230.2020.9325615 DO https://doi.org/10.1109/ICDABI51230.2020.9325615 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)