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A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX
Wei, Liang-ying
- In:
Economic modelling
33
(
2013
),
pp. 893-899
Persistent link: https://www.econbiz.de/10010195593
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2
Economic forecasting with evolved confidence indicators
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Economic modelling
93
(
2020
),
pp. 576-585
Persistent link: https://www.econbiz.de/10012430273
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3
Comparing the forecasting performance of neural network and purchasing power parity : the case of Turkey
Ozkan, Filiz
- In:
Economic modelling
31
(
2013
),
pp. 752-758
Persistent link: https://www.econbiz.de/10009731391
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4
Application of artificial neural networks in tendency forecasting of economic growth
Feng, Lihua
;
Zhang, Jianzhen
- In:
Economic modelling
40
(
2014
),
pp. 76-80
Persistent link: https://www.econbiz.de/10010425731
Saved in:
5
Forecasting tourism demand to Catalonia : neural networks vs. time series models
Claveria, Oscar
;
Torra, Salvador
- In:
Economic modelling
36
(
2014
),
pp. 220-228
Persistent link: https://www.econbiz.de/10010412358
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6
A new multiscale decomposition ensemble approach for forecasting exchange rates
Sun, Shaolong
;
Wang, Shouyang
;
Wei, Yunjie
- In:
Economic modelling
81
(
2019
),
pp. 49-58
Persistent link: https://www.econbiz.de/10012201456
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7
On business cycle fluctuations in USA macroeconomic time series
Kiani, Khurshid M.
- In:
Economic modelling
53
(
2016
),
pp. 179-186
Persistent link: https://www.econbiz.de/10011640993
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8
Oil price forecasting using gene expression programming and artificial neural networks
Mostafa, Mohamed M.
;
El-Masry, Ahmed A.
- In:
Economic modelling
54
(
2016
),
pp. 40-53
Persistent link: https://www.econbiz.de/10011641367
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9
Artificial neural network regression models in a panel setting : predicting economic growth
Jahn, Malte
- In:
Economic modelling
91
(
2020
),
pp. 148-154
Persistent link: https://www.econbiz.de/10012429029
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10
Economic forecasting : some lessons from recent research
Hendry, David F.
;
Clements, Michael P.
- In:
Economic modelling
20
(
2003
)
2
,
pp. 301-329
Persistent link: https://www.econbiz.de/10001742255
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