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
RABNET : a real-valued antibody network for data cluster..:
, In:
Proceedings of the 7th annual conference on Genetic and evolutionary computation
,
Knidel, Helder
;
de Castro, Leandro N.
;
Von Zuben, Fernando J.
- p. 371-372 , 2005
Link:
https://dl.acm.org/doi/10.1145/1068009.1068068
RT T1
Proceedings of the 7th annual conference on Genetic and evolutionary computation
: T1
RABNET : a real-valued antibody network for data clustering
UL https://suche.suub.uni-bremen.de/peid=acm-1068068&Exemplar=1&LAN=DE A1 Knidel, Helder A1 de Castro, Leandro N. A1 Von Zuben, Fernando J. PB ACM YR 2005 K1 artificial immune systems K1 artificial neural networks K1 data clustering K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis SP 371 OP 372 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1068009.1068068 DO https://dl.acm.org/doi/10.1145/1068009.1068068 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)