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 data prediction models in a real water suppl..:
Silva, André Carlos da
;
Silva, Fernando das Graças Braga da
;
Valério, Victor Eduardo de Mello
...
RBRH. 29 (2024) - p. , 2024
Link:
https://doi.org/10.1590/2318-0331.292420230057
RT Journal T1
Application of data prediction models in a real water supply network: comparison between arima and artificial neural networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1590_2318-0331.292420230057&Exemplar=1&LAN=DE A1 Silva, André Carlos da A1 Silva, Fernando das Graças Braga da A1 Valério, Victor Eduardo de Mello A1 Silva, Alex Takeo Yasumura Lima A1 Marques, Sara Maria A1 Reis, José Antonio Tosta dos PB FapUNIFESP (SciELO) YR 2024 SN 2318-0331 SN 1414-381X JF RBRH VO 29 LK http://dx.doi.org/https://doi.org/10.1590/2318-0331.292420230057 DO https://doi.org/10.1590/2318-0331.292420230057 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)