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~isPartOf:"Quantitative finance"
~subject:"Prognoseverfahren"
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Search: subject_exact:"Neuronale Netze"
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Prognoseverfahren
Neural networks
82
Neuronale Netze
82
Theorie
46
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46
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44
Option pricing theory
16
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16
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Bas, Eren
2
Bekiros, Stelios
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1
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Computational economics
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International journal of forecasting
68
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Journal of risk and financial management : JRFM
24
Risks : open access journal
23
European journal of operational research : EJOR
19
International journal of production research
19
Energy economics
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Decision analytics journal
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Technological forecasting & social change : an international journal
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Working papers
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International journal of business information systems : IJBIS
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Neural networks in business forecasting
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International Journal of Energy Economics and Policy : IJEEP
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International journal of networking and virtual organisations : IJNVO
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Journal of business research : JBR
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Journal of the Operational Research Society
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Applied economics letters
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Cogent economics & finance
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Digital finance : smart data analytics, investment innovation, and financial technology
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Economic modelling
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International journal of economics and finance
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International review of financial analysis
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Journal of information & knowledge management : JIKM
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Tourism economics : the business and finance of tourism and recreation
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Advances in business and management forecasting
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Applications of artificial intelligence in finance and economics
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Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren : Ergebnisse des 5. Karlsruher Ökonometrie-Workshops
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Intelligent systems in accounting, finance & management
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International journal of financial engineering
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ECONIS (ZBW)
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A new neural network approach for predicting the volatility of stock market
Koo, Eunho
;
Kim, Geonwoo
- In:
Computational economics
61
(
2023
)
4
,
pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
Saved in:
2
A generative model of a limit order book using recurrent neural networks
Hultin, Hanna
;
Hult, Henrik
;
Proutiere, Alexandre
; …
- In:
Quantitative finance
23
(
2023
)
6
,
pp. 931-958
Persistent link: https://www.econbiz.de/10014304400
Saved in:
3
Bayesian estimation of economic simulation models using neural networks
Platt, Donovan
- In:
Computational economics
59
(
2022
)
2
,
pp. 599-650
Persistent link: https://www.econbiz.de/10013169024
Saved in:
4
Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih
;
Yildiztepe, Engin
- In:
Computational economics
63
(
2024
)
1
,
pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
Saved in:
5
Predicting natural gas prices based on a novel hybrid model with variational mode decomposition
Lu, Qin
;
Liao, Jingwen
;
Chen, Kechi
;
Liang, Yanhui
;
Lin, Yu
- In:
Computational economics
63
(
2024
)
2
,
pp. 639-678
Persistent link: https://www.econbiz.de/10014472537
Saved in:
6
An application of machine learning to logistics performance prediction : an economics attribute-based of collective instance
Suriyan Jomthanachai
;
Wong, Wai Peng
;
Khai Wah Khaw
- In:
Computational economics
63
(
2024
)
2
,
pp. 741-792
Persistent link: https://www.econbiz.de/10014472556
Saved in:
7
Enhancement of neural networks model's predictions of currencies exchange rates by phase space reconstruction and harris hawks’ optimization
Khan, Haider Ali
;
Ghorbani, Shahryar
;
Shabani, Elham
; …
- In:
Computational economics
63
(
2024
)
2
,
pp. 835-860
Persistent link: https://www.econbiz.de/10014475063
Saved in:
8
Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba
;
Qureshi, Shafiullah
- In:
Computational economics
62
(
2023
)
4
,
pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
Saved in:
9
A hybrid ARFIMA wavelet artificial neural network model for DJIA index forecasting
Boubaker, Heni
;
Canarella, Giorgio
;
Gupta, Rangan
; …
- In:
Computational economics
62
(
2023
)
4
,
pp. 1801-1843
Persistent link: https://www.econbiz.de/10014437593
Saved in:
10
Modeling Bitcoin prices using signal processing methods, Bayesian optimization, and deep neural networks
Tripathi, Bhaskar
;
Sharma, Rakesh Kumar
- In:
Computational economics
62
(
2023
)
4
,
pp. 1919-1945
Persistent link: https://www.econbiz.de/10014442577
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