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
Development of a hybrid PSO–ANN model for estimating glucos..:
Ethaib, Saleem
;
Omar, Rozita
;
Mazlina, Mustapa Kamal Siti
..
Neural Computing and Applications. 30 (2016) 4 - p. 1111-1121 , 2016
Link:
https://doi.org/10.1007/s00521-016-2755-0
RT Journal T1
Development of a hybrid PSO–ANN model for estimating glucose and xylose yields for microwave-assisted pretreatment and the enzymatic hydrolysis of lignocellulosic biomass
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00521-016-2755-0&Exemplar=1&LAN=DE A1 Ethaib, Saleem A1 Omar, Rozita A1 Mazlina, Mustapa Kamal Siti A1 Radiah, Awang Biak Dayang A1 Syafiie, S. PB Springer Science and Business Media LLC YR 2016 SN 0941-0643 SN 1433-3058 JF Neural Computing and Applications VO 30 IS 4 SP 1111 OP 1121 LK http://dx.doi.org/https://doi.org/10.1007/s00521-016-2755-0 DO https://doi.org/10.1007/s00521-016-2755-0 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)