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
Analysis of logistics cargo turnover prediction based on ar..:
, In:
2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
,
Pan, Yanfang
;
Xiong, Huan
;
Wang, Shiyu
... - p. 1002-1005 , 2024
Link:
https://doi.org/10.1109/NNICE61279.2024.10499022
RT T1 <cTitle>2024 4th International Conference on Neural Networks, Information and Communication (NNICE)</cTitle>: T1 <Title>Analysis of logistics cargo turnover prediction based on artificial neural network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10499022&Exemplar=1&LAN=DE A1 Pan, Yanfang A1 Xiong, Huan A1 Wang, Shiyu A1 Lou, Benxiao A1 Liu, Bote A1 Chen, Jianqiu A1 Gu, Guobin YR 2024 K1 Training K1 Analytical models K1 Artificial neural networks K1 Production K1 Predictive models K1 Prediction algorithms K1 Robustness K1 Artificial neural network K1 Bayesian optimisation K1 logistics freight turnover K1 predictive analytics SP 1002 OP 1005 LK http://dx.doi.org/https://doi.org/10.1109/NNICE61279.2024.10499022 DO https://doi.org/10.1109/NNICE61279.2024.10499022 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
