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1
Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
Sermpinis, Georgios
;
Stasinakis, Charalampos
;
Dunis, …
- In:
Journal of international financial markets, …
30
(
2014
),
pp. 21-54
Persistent link: https://www.econbiz.de/10011293055
Saved in:
2
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav
;
Singh, Uday Pratap
;
Jain, Sanjeev
- In:
Computational economics
60
(
2022
)
3
,
pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
Saved in:
3
Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neura...
Parreno, Samuel John
- In:
International Journal of Energy Economics and Policy : IJEEP
13
(
2023
)
5
,
pp. 544-552
Persistent link: https://www.econbiz.de/10014384462
Saved in:
4
Hybrid approaches based on
SARIMA
and artificial neural networks for inspection time series forecasting
Ruiz-Aguilar, Juan Jesus
;
Turias, I. J.
;
Jiménez-Come, …
- In:
Transportation research / E : an international journal
67
(
2014
),
pp. 1-13
Persistent link: https://www.econbiz.de/10010384606
Saved in:
5
A novel approach to model selection in tourism demand modeling
Akın, Melda
- In:
Tourism management : research, policies, practice
48
(
2015
),
pp. 64-73
Persistent link: https://www.econbiz.de/10010508442
Saved in:
6
Demand forecasting using modelling and comparison of series and parallel structures of
SARIMA
and SMLP
Bahrami, Maryam
;
Khashei, Mehdi
;
Amindoust, Atefeh
- In:
International journal of process management and …
13
(
2023
)
2
,
pp. 282-301
Persistent link: https://www.econbiz.de/10014313808
Saved in:
7
Short-term forecasting airport passenger flow during periods of volatility : comparative investigation of time series vs. neural network models
Hopfe, David H.
;
Lee, Kiljae
;
Yu, Chunyan
- In:
Journal of air transport management : a new …
115
(
2024
),
pp. 1-19
Persistent link: https://www.econbiz.de/10015076481
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8
Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm
Eslami, Payman
;
Jung, Kihyo
;
Lee, Daewon
;
Tjolleng, Amir
- In:
Maritime economics & logistics : a quarterly scientific …
19
(
2017
)
3
,
pp. 538-550
Persistent link: https://www.econbiz.de/10011732176
Saved in:
9
Forecasting of future stock prices using neural networks and genetic algorithms
Mitilineos, Stelios A.
;
Artikis, Panayiotis G.
- In:
International journal of decision sciences, risk and …
7
(
2017
)
1/2
,
pp. 2-25
Persistent link: https://www.econbiz.de/10011797297
Saved in:
10
Earnings per share forecast using extracted rules from trained neural network by genetic algorithm
Etemadi, Hossein
;
Ahmadpour, Ahmad
;
Moshashaei, Seyed …
- In:
Computational economics
46
(
2015
)
1
,
pp. 55-63
Persistent link: https://www.econbiz.de/10011441008
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