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
Weighted cross-validation evolving artificial neural networ..:
Peralta Donate, Juan
;
Cortez, Paulo
;
Gutierrez Sanchez, German
.
http://www.springerlink.com/index/JN5578W43455W60Q.pdf. , 2011
Link:
http://hdl.handle.net/1822/14844
RT Journal T1
Weighted cross-validation evolving artificial neural networks to forecast time series
UL https://suche.suub.uni-bremen.de/peid=base-ftunivminho:oai:repositorium.sdum.uminho.pt:1822_14844&Exemplar=1&LAN=DE A1 Peralta Donate, Juan A1 Cortez, Paulo A1 Gutierrez Sanchez, German A1 Sanchis de Miguel, Araceli PB Springer YR 2011 K1 Evolutionary computation K1 Genetic algorithms K1 Artificial neural networks K1 Time series K1 Forecasting K1 Ensembles K1 Science & Technology JF http://www.springerlink.com/index/JN5578W43455W60Q.pdf LK http://hdl.handle.net/1822/14844 DO http://hdl.handle.net/1822/14844 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)