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Predicting bid prices by using machine learning methods
Kim, Jong-Min; Jung, Hojin - In: Applied economics 51 (2019) 19, pp. 2011-2018
Persistent link: https://www.econbiz.de/10012196635
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Public transportation demand in a border metropolitan economy
Fullerton, Thomas M.; Walker, Alec G. - In: Applied economics 45 (2013) 25/27, pp. 3922-3931
Persistent link: https://www.econbiz.de/10010345836
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Empirical of the Taiwan stock index option price forecasting model-applied artificial neural network
Lin, Chin-tsai; Yeh, Hsin-yi - In: Applied economics 41 (2009) 13/15, pp. 1965-1972
Persistent link: https://www.econbiz.de/10003862784
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Neural network models for inflation forecasting : an appraisal
Choudhary, M. Ali; Haider, Adnan - In: Applied economics 44 (2012) 19/21, pp. 2631-2635
Persistent link: https://www.econbiz.de/10009546689
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A comparison of linear forecasting models and neural networks : an application to Euro inflation and Euro Divisa
Binner, Jane M.; Bissoondeeal, Rakesh K.; Elger, Thomas; … - In: Applied economics 37 (2005) 6, pp. 665-680
Persistent link: https://www.econbiz.de/10002738580
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Neutral network forecasts of input-output technology
Papadas, Christos T.; Hutchinson, W. G. - In: Applied economics 34 (2002) 13, pp. 1607-1615
Persistent link: https://www.econbiz.de/10001692499
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An effective going concern prediction model for the sustainability of enterprises and capital market development
Chen, Suduan - In: Applied economics 51 (2019) 31, pp. 3376-3388
Persistent link: https://www.econbiz.de/10012196839
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Reliability study of stock index forecasting in volatile and trending cities using public sentiment : based on word2Vec and LSTM models
Ma, Yuanyuan; Liu, Chenglong; Zhang, Jie Tian; Liu, Yanze - In: Applied economics 55 (2023) 43, pp. 5013-5032
Persistent link: https://www.econbiz.de/10014334940
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Predicting French SME failures : new evidence from machine learning techniques
Schalck, Christophe; Yankol-Schalck, Meryem - In: Applied economics 53 (2021) 51, pp. 5948-5963
Persistent link: https://www.econbiz.de/10012627109
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The cross-section of Indian stock returns : evidence using machine learning
Lalwani, Vaibhav; Meshram, Vedprakash - In: Applied economics 54 (2022) 16, pp. 1814-1828
Persistent link: https://www.econbiz.de/10012875645