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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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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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Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
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Forecasting Nigerian stock market returns using ARIMA and artificial neural network models
Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN journal of applied statistics 5 (2014) 2, pp. 25-48
The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock market returns. The Nigerian stock market logarithmic returns time series was tested for the presence of memory using the Hurst coefficient before the models were trained. The...
Persistent link: https://www.econbiz.de/10011488820
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Using neural networks to enhance technical trading rule returns : a case with KLCI
Jacinta Chan Phooi M'ng; Azmin Azliza Aziz - In: Athens journal of business & economics : AJBE 2 (2016) 1, pp. 63-70
Persistent link: https://www.econbiz.de/10011565193