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Predict coordinated development degree of county eco-environment system using GA-SVM : a case study of Guanzhong urban agglomeration
Zhao, Jing; Jin, Zhen - In: Journal of global information management : an official … 26 (2018) 3, pp. 1-10
Persistent link: https://www.econbiz.de/10011926083
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Analysis of capital flow in commodity futures market based on SVM
Lin, Zi-ang; Chen, Shaozhen; Liang, Hongtao; Zhang, Hong - In: International journal of economics and finance 10 (2018) 8, pp. 28-35
Persistent link: https://www.econbiz.de/10011905140
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A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21
Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data...
Persistent link: https://www.econbiz.de/10013339256
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The predictability of the exchange rate when combining machine learning and fundamental models
Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 3/48, pp. 1-16
prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …
Persistent link: https://www.econbiz.de/10012174126
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Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19
aims to develop bankruptcy prediction models for the chemical industry in Slovakia and to compare their effectiveness …. The selection of eleven financial indicators used for bankruptcy prediction was grounded in prior research and existing …
Persistent link: https://www.econbiz.de/10014502270
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Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison
Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15
Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly …
Persistent link: https://www.econbiz.de/10012302458
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An evolutionary cost-sensitive support vector machine for carbon price trend forecasting
Zhu, Bangzhu; Zhang, Jingyi; Wan, Chunzhuo; Chevallier, … - In: Journal of forecasting 42 (2023) 4, pp. 741-755
Persistent link: https://www.econbiz.de/10014292805
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PREDICTING FINANCIAL DISTRESS OF CHINESE LISTED COMPANIES USING ROUGH SET THEORY AND SUPPORT VECTOR MACHINE
CAO, YU; WAN, GUANGYU; WANG, FUQIANG - In: Asia-Pacific Journal of Operational Research (APJOR) 28 (2011) 01, pp. 95-109
), in order to find a better early warning method and enhance the prediction accuracy. After several comparative experiments … prediction. …
Persistent link: https://www.econbiz.de/10008852562
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Predicting energy consumption of multiproduct pipeline using artificial neural networks
Zeng, Chunlei; Wu, Changchun; Zuo, Lili; Zhang, Bin; … - In: Energy 66 (2014) C, pp. 791-798
ANN models have very high accuracy for prediction and better forecasting performance than the other models. The proposed …
Persistent link: https://www.econbiz.de/10011054809
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The predictability of the exchange rate when combining machine learning and fundamental models
Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of Risk and Financial Management 13 (2020) 3, pp. 1-16
prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …
Persistent link: https://www.econbiz.de/10012611273