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Search: subject:"long short-term memory neural network"
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Neural networks
9
Neuronale Netze
9
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7
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6
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6
Forecast
4
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4
Deep learning
3
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2
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2
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2
Börsenkurs
2
Electricity price
2
Künstliche Intelligenz
2
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2
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2
Long-short term memory neural network
2
Nichtlineare Regression
2
Nonlinear regression
2
Share price
2
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2
Time series analysis
2
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long short-term memory neural network
2
(S)ARIMA(X)
1
Adaptive trading system
1
Aktienindex
1
Aktienmarkt
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Anlageverhalten
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Behavioural finance
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Bidirectional long short-term memory neural network
1
CAPM
1
Capital income
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China
1
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Commodity futures price forecast
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Convolutional neural network
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Bales, Chris
1
Bethel, Brandon J.
1
De Bruyn, Arnaud
1
Fleyeh, Hasan
1
Gao, Yukun
1
Ham, Song-Jun
1
Han, Qimeng
1
Herwartz, Helmut
1
Kim, Won-Hyok
1
Kim, Yong-Hyong
1
Lehna, Malte
1
Li, Li
1
Liu, Yijia
1
Long, Suwan
1
Pan, Shuiyang
1
Pan, Zhiwei
1
Ri, Chong-Sim
1
Ri, Wi-Song
1
Rong, Jane Yihua
1
Sarkar, Mainak
1
Scheller, Fabian
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Shi, Yufeng
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Tang, Decai
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Tong, Guangji
1
Wang, Cuiyuan
1
Wang, Tao
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Wang, Yiming
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Xie, Ying
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Yin, Zhiwei
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Yuan, Changhe
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Computational economics
1
Energy economics
1
International journal of financial engineering
1
International review of financial analysis
1
Journal of economics and finance : JEF
1
Journal of interactive marketing : a quarterly publication from the Direct Marketing Educational Foundation
1
Journal of the Operational Research Society
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Portuguese economic journal
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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ECONIS (ZBW)
9
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1
Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and
long
short-term
memory
neural
network
to copper price forecasting
Kim, Yong-Hyong
;
Ham, Song-Jun
;
Ri, Chong-Sim
;
Kim, Won-Hyok
- In:
Portuguese economic journal
24
(
2025
)
1
,
pp. 151-169
Persistent link: https://www.econbiz.de/10015332545
Saved in:
2
Commodity futures price forecast based on multi-scale combination model
Liu, Yijia
;
Gao, Yukun
;
Shi, Yufeng
;
Zhang, Yuxue
;
Li, Li
; …
- In:
International journal of financial engineering
9
(
2022
)
4
,
pp. 1-32
Persistent link: https://www.econbiz.de/10014234465
Saved in:
3
A hybrid model based on bidirectional
long
short-term
memory
neural
network
and Catboost for short-term electricity spot price forecasting
Zhang, Fan
;
Fleyeh, Hasan
;
Bales, Chris
- In:
Journal of the Operational Research Society
73
(
2022
)
2
,
pp. 301-325
Persistent link: https://www.econbiz.de/10013170134
Saved in:
4
Nonlinear asset pricing in Chinese stock market : a deep learning approach
Pan, Shuiyang
;
Long, Suwan
;
Wang, Yiming
;
Xie, Ying
- In:
International review of financial analysis
87
(
2023
),
pp. 1-9
Persistent link: https://www.econbiz.de/10014460620
Saved in:
5
Prediction of stock index of two-scale long short-term memory model based on multiscale nonlinear integration
Tang, Decai
;
Pan, Zhiwei
;
Bethel, Brandon J.
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
26
(
2022
)
5
,
pp. 723-735
Persistent link: https://www.econbiz.de/10013554949
Saved in:
6
Adaptive trading system of assets for international cooperation in agricultural finance based on neural network
Tong, Guangji
;
Yin, Zhiwei
- In:
Computational economics
59
(
2022
)
4
,
pp. 1557-1576
Persistent link: https://www.econbiz.de/10013262001
Saved in:
7
Forecasting day-ahead electricity prices : a comparison of time series and neural network models taking external regressors into account
Lehna, Malte
;
Scheller, Fabian
;
Herwartz, Helmut
- In:
Energy economics
106
(
2022
),
pp. 1-15
Persistent link: https://www.econbiz.de/10013202053
Saved in:
8
Learning to trade on sentiment
Wang, Cuiyuan
;
Wang, Tao
;
Yuan, Changhe
;
Rong, Jane Yihua
- In:
Journal of economics and finance : JEF
46
(
2022
)
2
,
pp. 308-323
Persistent link: https://www.econbiz.de/10013190545
Saved in:
9
LSTM response models for direct marketing analytics : replacing feature engineering with deep learning
Sarkar, Mainak
;
De Bruyn, Arnaud
- In:
Journal of interactive marketing : a quarterly …
53
(
2021
),
pp. 80-95
Persistent link: https://www.econbiz.de/10012502848
Saved in:
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