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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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Neural network earnings per share forecasting models : a comparison of backward propagation and the genetic algorithm
Cao, Ray Qing; Parry, Mark E. - In: Decision support systems : DSS ; the international journal 47 (2009) 1, pp. 32-41
Persistent link: https://www.econbiz.de/10003852596
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Using argumentation and hybrid evolutionary multi-model partitioning algorithms for efficient portfolio construction
Spanoudakis, Nikolaos; Pendaraki, Konstantina; … - In: Computational intelligence techniques for trading and …, (pp. 146-174). 2014
Persistent link: https://www.econbiz.de/10010341905
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Advanced short-term forecasting and trading deploying neural networks optimized with an adaptive evolutionary algorithm
Theofilatos, Konstantinos; Amorgianiotis, Thomas; … - In: Computational intelligence techniques for trading and …, (pp. 133-145). 2014
Persistent link: https://www.econbiz.de/10010341907
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An integrated system based on fuzzy genetic algorithm and neural networks for stock price forecasting : case study of price index of Tehran Stock Exchange
Abbassi, Noraddin Mousazadeh; Aghaei, Mohammad Ali; … - In: International journal of quality & reliability management 31 (2014) 3, pp. 281-292
Persistent link: https://www.econbiz.de/10010250048
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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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An efficient FLANN model with CRO-based gradient descent learning for classification
Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116
Persistent link: https://www.econbiz.de/10011520250
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Finding relevant variables in a financial distress prediction problem using genetic programming and self-organizing maps
Alfaro-Cid, E.; Mora, A. M.; Merelo, J. J.; … - In: Natural computing in computational finance : volume 2 ; …, (pp. 31-49). 2009
Persistent link: https://www.econbiz.de/10009515160
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Hybrid computational models for software cost prediction: an approach using artificial neural networks and genetic algorithms
Papatheocharous, Efi; Andreou, Andreas S. - In: Enterprise information systems : 10th International …, (pp. 87-100). 2009
Persistent link: https://www.econbiz.de/10003844561
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Forecast model selection : Genetic Algorithm Neural Network (GANN) approach
Anandarajan, Murugan; Arinze, Bay; Anandarajan, Asokan; … - In: Advances in business and management forecasting 3 (2002), pp. 93-111
Persistent link: https://www.econbiz.de/10003750906