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
Application of different Machine Learning models for Supply..:
, In:
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)
,
Singha, D
;
Panse, Chetan
- p. 312-318 , 2022
Link:
https://doi.org/10.1109/ICIPTM54933.2022.9753864
RT T1
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)
: T1
Application of different Machine Learning models for Supply Chain Demand Forecasting: Comparative Analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-9753864&Exemplar=1&LAN=DE A1 Singha, D A1 Panse, Chetan YR 2022 K1 Training K1 Analytical models K1 Uncertainty K1 Computational modeling K1 Supply chains K1 Time series analysis K1 Predictive models K1 Demand forecasting K1 machine learning K1 neural networks K1 time series model K1 supply chain SP 312 OP 318 LK http://dx.doi.org/https://doi.org/10.1109/ICIPTM54933.2022.9753864 DO https://doi.org/10.1109/ICIPTM54933.2022.9753864 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)