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Forecasting agricultural commodity pricing using neural network-based approach
Varma, G. Nikhila; Padman, K. - In: International journal of business information systems : … 31 (2019) 4, pp. 517-529
Persistent link: https://www.econbiz.de/10012144941
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Analyzing massive data sets : an adaptive fuzzy neural approach for prediction, with a real estate illustration
Guan, Jian; Shi, Donghui; Zurada, Jozef M.; Levitan, Alan S. - In: Journal of organizational computing and electronic commerce 24 (2014) 1, pp. 94-112
Persistent link: https://www.econbiz.de/10010344789
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Toward stable predictions of apprentices' training success : can artificial neural networks outperform linear predictions?
Schmidt-Atzert, Lothar; Krumm, Stefan; Lubbe, Dirk - In: Journal of personnel psychology 10 (2011) 1, pp. 34-42
Persistent link: https://www.econbiz.de/10008939075
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Künstliche Neuronale Netze im empirischen Vergleich zu regressionsanalytischen Verfahren in der Werbewirkungsforschung
Hoffmann, Michaela - 2004
Persistent link: https://www.econbiz.de/10001950098
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A dynamic scenario-driven technique for stock price prediction and trading
Thesia, Yash; Oza, Vidhey; Thakkar, Priyank - In: Journal of forecasting 41 (2022) 3, pp. 653-674
Persistent link: https://www.econbiz.de/10013166175
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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
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Technical analysis forecasting and evaluation of stock markets : the probabilistic recovery neural network approach
Maniatopoulos, Andreas; Gazis, Alexandros; Mitianoudis, … - In: International journal of economics and business … 25 (2023) 1, pp. 64-100
Persistent link: https://www.econbiz.de/10014309021
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Development of stock market trend prediction system using multiple regression
Asghar, Muhammad Zubair; Rahman, Fazal; Kundi, Fazal Masud - In: Computational and mathematical organization theory 25 (2019) 3, pp. 271-301
Persistent link: https://www.econbiz.de/10012098937
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Zur Prognose des Deutschen Aktienindex DAX mit Hilfe von Neuro-Fuzzy-Systemen
Dichtl, Hubert - 1995 - 1. Aufl
Persistent link: https://www.econbiz.de/10000603402
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Support vector regression based GARCH model with application to forecasting volatility of financial returns
Chen, Shiyi (contributor); Jeong, Kiho (contributor);  … - 2008
In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...
Persistent link: https://www.econbiz.de/10003636113