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Forecasting the Artificial Intelligence index returns : a hybrid approach
Zhang, Yue-jun; Zhang, Han; Gupta, Rangan - 2021
Persistent link: https://www.econbiz.de/10012692569
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A two-stage procedure for forecasting freight inspections at border inspections posts using SOMs and support vector regression
Ruiz-Aguilar, Juan Jesus; Turias, I. J.; Jiménez-Come, … - In: International journal of production research 53 (2015) 7, pp. 2119-2130
Persistent link: https://www.econbiz.de/10010514665
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems
Azadeh, Mohammad Ali; Boskabadi, Azam; Pashapour, Shima - In: International journal of services and operations management 21 (2015) 2, pp. 217-237
Persistent link: https://www.econbiz.de/10011380081
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A neural network-based methodology of quantifying the association between the design variables and the users' performances
Wong, Tse Chiu; Chan, H. S. - In: International journal of production research 53 (2015) 13, pp. 4050-4067
Persistent link: https://www.econbiz.de/10011302845
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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
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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
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A comparison of SVR and NARX in financial time series forecasting
Tas, Engin; Atli, Ayca Hatice - In: International journal of computational economics and … 12 (2022) 3, pp. 303-320
Persistent link: https://www.econbiz.de/10013253303
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China's missing pigs : correcting China's hog inventory data using a machine learning approach
Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020
Persistent link: https://www.econbiz.de/10012387933
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A machine learning approach to univariate time series forecasting of quarterly earnings
Fischer, Jan Alexander; Pohl, Philipp; Ratz, Dietmar - In: Review of quantitative finance and accounting 55 (2020) 4, pp. 1163-1179
Persistent link: https://www.econbiz.de/10012304132