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
Inverse Optimal Control Using Metaheuristics of Hydropower ..:
Marlene A. Perez-Villalpando
;
Kelly J. Gurubel Tun
;
Carlos A. Arellano-Muro
.
F: Electrical Engineering. , 2021
Link:
https://doi.org/10.3390/en14217356
RT Journal T1
Inverse Optimal Control Using Metaheuristics of Hydropower Plant Model via Forecasting Based on the Feature Engineering
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_1996-1073_14_21_7356_&Exemplar=1&LAN=DE A1 Marlene A. Perez-Villalpando A1 Kelly J. Gurubel Tun A1 Carlos A. Arellano-Muro A1 Fernando Fausto PB Multidisciplinary Digital Publishing Institute YR 2021 K1 Inverse Optimal Control K1 Feature Engineering application K1 forecasting K1 recurrent high order neural network JF F: Electrical Engineering LK http://dx.doi.org/https://doi.org/10.3390/en14217356 DO https://doi.org/10.3390/en14217356 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)