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Machine learning with parallel neural networks for analyzing and forecasting electricity demand
Chen, Yi-Ting; Sun, Edward W.; Lin, Yi-Bing - In: Computational economics 56 (2020) 2, pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
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Predicting stock price using two-stage machine learning techniques
Zhang, Jun; Li, Lan; Chen, Wei - In: Computational economics 57 (2021) 4, pp. 1237-1261
Persistent link: https://www.econbiz.de/10012543291
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Multi-factor RFG-LSTM algorithm for stock sequence predicting
Su, Zhi; Xie, Heliang; Han, Lu - In: Computational economics 57 (2021) 4, pp. 1041-1058
Persistent link: https://www.econbiz.de/10012543252
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A new neural network approach for predicting the volatility of stock market
Koo, Eunho; Kim, Geonwoo - In: Computational economics 61 (2023) 4, pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
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Corporate bankruptcy prediction using machine learning methodologies with a focus on sequential data
Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin - In: Computational economics 59 (2022) 3, pp. 1231-1249
Persistent link: https://www.econbiz.de/10013169352
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Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos - In: Computational economics 55 (2020) 2, pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
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Financial soundness prediction using a multi-classification model : evidence from current financial crisis in OECD banks
Fernández-Arias, D.; López Martín, Ma. del Carmen; … - In: Computational economics 52 (2018) 1, pp. 275-297
Persistent link: https://www.econbiz.de/10012052936
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An application of machine learning to logistics performance prediction : an economics attribute-based of collective instance
Suriyan Jomthanachai; Wong, Wai Peng; Khai Wah Khaw - In: Computational economics 63 (2024) 2, pp. 741-792
Persistent link: https://www.econbiz.de/10014472556
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Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba; Qureshi, Shafiullah - In: Computational economics 62 (2023) 4, pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
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Application of supervised machine learning techniques to forecast the COVID‑19 U.S. recession and stock market crash
Malladi, Rama K. - In: Computational economics 63 (2024) 3, pp. 1021-1045
Persistent link: https://www.econbiz.de/10014546241