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
A Time Weighted Based Deep Learning Model for Stock Market ..:
, In:
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
,
G S, Nijaguna
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/EASCT59475.2023.10393744
RT T1
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
: T1
A Time Weighted Based Deep Learning Model for Stock Market Price Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-10393744&Exemplar=1&LAN=DE A1 G S, Nijaguna YR 2023 K1 Deep learning K1 Social networking (online) K1 Biological system modeling K1 Time series analysis K1 Transforms K1 Predictive models K1 Feature extraction K1 Deep Learning K1 Financial Social Media K1 Stock Price Prediction K1 Time Weighted Long Short-Term Memory K1 Wavelet Transform SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/EASCT59475.2023.10393744 DO https://doi.org/10.1109/EASCT59475.2023.10393744 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)