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Mustererkennung
Forecasting model
71
Prognoseverfahren
71
Neural networks
54
Neuronale Netze
54
Theorie
38
Theory
38
long short-term memory
31
Artificial intelligence
26
Künstliche Intelligenz
26
Long short-term memory
23
Learning process
21
Lernprozess
21
Deep learning
20
Time series analysis
19
Zeitreihenanalyse
19
deep learning
19
Börsenkurs
14
Forecast
14
Prognose
14
Share price
14
Portfolio selection
13
Portfolio-Management
13
Volatility
13
Volatilität
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Aktienmarkt
12
Stock market
12
Capital income
11
Kapitaleinkommen
11
LSTM
11
Machine learning
9
recurrent neural networks
9
machine learning
8
China
7
Long Short-Term Memory
7
Long short-term memory (LSTM)
6
ARCH model
5
ARCH-Modell
5
Aktienindex
5
Pattern recognition
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Bansal, Malti
1
Ben Abdelaziz, Fouad
1
Biehl, Michael
1
Chhajer, Parshv
1
Choudhary, Apoorva
1
Feng, Liu
1
Gao, Dongming
1
Goyal, Apoorva
1
Htet Htet Htun
1
Jammeli, Haifa
1
Ksantini, Riadh
1
Kshirsagar, Ameya
1
Li, Yang
1
Masri, Hatem
1
Petkov, Nicolai
1
Shah, Manan
1
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Decision analytics journal
2
Financial innovation : FIN
1
IEEE transactions on engineering management : EM
1
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
1
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ECONIS (ZBW)
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1
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun
;
Biehl, Michael
;
Petkov, Nicolai
- In:
Financial innovation : FIN
10
(
2024
),
pp. 1-16
multiple previous relative returns and apply the random forest (RF), support vector machine (SVM), and
long
short-term
memory
…
Persistent link: https://www.econbiz.de/10014547210
Saved in:
2
Sequential artificial intelligence models to forecast urban solid waste in the city of Sousse, Tunisia
Jammeli, Haifa
;
Ksantini, Riadh
;
Ben Abdelaziz, Fouad
; …
- In:
IEEE transactions on engineering management : EM
70
(
2023
)
5
,
pp. 1912-1922
Persistent link: https://www.econbiz.de/10014305548
Saved in:
3
The applications of artificial neural networks, support vector machines, and
long-short
term
memory
for stock market prediction
Chhajer, Parshv
;
Shah, Manan
;
Kshirsagar, Ameya
- In:
Decision analytics journal
2
(
2022
)
, and
long-short
term
memory
. …
Persistent link: https://www.econbiz.de/10013163098
Saved in:
4
A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and
Long
Short
Term
Memory
algorithms in machine learning
Bansal, Malti
;
Goyal, Apoorva
;
Choudhary, Apoorva
- In:
Decision analytics journal
3
(
2022
),
pp. 1-21
Tree (DT) , and
Long
Short
Term
Memory
(LSTM) network have been discussed in great detail which is a prerequisite for …
Persistent link: https://www.econbiz.de/10013339256
Saved in:
5
Stock price prediction using multi-scale nonlinear ensemble of deep learning and evolutionary weighted support vector regression
Wang, Jujie
;
Zhuang, Zhenzhen
;
Gao, Dongming
;
Li, Yang
; …
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
27
(
2023
)
3
,
pp. 397-421
Persistent link: https://www.econbiz.de/10014372898
Saved in:
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