Financial time series prediction under Covid-19 pandemic crisis with Long Short-Term Memory (LSTM) network
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Financial time series prediction under Covid-19 pandemic crisis with Long Short-Term Memory (LSTM) network ; volume:10 ; number:1 ; day:25 ; month:8 ; year:2023 ; pages:1-15 ; date:12.2023
Humanities and Social Sciences Communications ; 10, Heft 1 (25.8.2023), 1-15, 12.2023
- Klassifikation
-
Wirtschaft
- Urheber
-
Mroua, Mourad
Lamine, Ahlem
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1057/s41599-023-02042-w
- URN
-
urn:nbn:de:101:1-2024020112472899967846
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mroua, Mourad
- Lamine, Ahlem
- SpringerLink (Online service)
Ähnliche Objekte (12)
Niederschlags-Abfluss-Modellierung mit Long Short-Term Memory (LSTM)
Intrusion detection systems using long short-term memory (LSTM)
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
Hydrological concept formation inside long short-term memory (LSTM) networks
PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model
Long short-term memory (LSTM) recurrent neural network for muscle activity detection
BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
Niederschlags-Abfluss-Modellierung mit Long Short-Term Memory (LSTM)
Intrusion detection systems using long short-term memory (LSTM)
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
Hydrological concept formation inside long short-term memory (LSTM) networks
PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model
Long short-term memory (LSTM) recurrent neural network for muscle activity detection
BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
Niederschlags-Abfluss-Modellierung mit Long Short-Term Memory (LSTM)
Intrusion detection systems using long short-term memory (LSTM)
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
Hydrological concept formation inside long short-term memory (LSTM) networks
PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model
Long short-term memory (LSTM) recurrent neural network for muscle activity detection
BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis