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
Rainfall-runoff modelling using improved machine learning m..:
Tikhamarine, Yazid
;
Souag-Gamane, Doudja
;
Ahmed, Ali Najah
...
Journal of Hydrology. 589 (2020) - p. 125133 , 2020
Link:
https://doi.org/10.1016/j.jhydrol.2020.125133
RT Journal T1
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jhydrol.2020.125133&Exemplar=1&LAN=DE A1 Tikhamarine, Yazid A1 Souag-Gamane, Doudja A1 Ahmed, Ali Najah A1 Sammen, Saad Sh. A1 Kisi, Ozgur A1 Huang, Yuk Feng A1 El-Shafie, Ahmed PB Elsevier BV YR 2020 SN 0022-1694 JF Journal of Hydrology VO 589 SP 125133 LK http://dx.doi.org/https://doi.org/10.1016/j.jhydrol.2020.125133 DO https://doi.org/10.1016/j.jhydrol.2020.125133 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)