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Whose balance sheet is this? : neural networks for banks' pattern recognition
León, Carlos; Moreno, José Fernando; Cely, Jorge - 2016
Persistent link: https://www.econbiz.de/10011628908
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Whose Balance Sheet is This? Neural Networks for Banks’ Pattern Recognition
León, Carlos - 2017
The balance sheet is a snapshot that portraits the financial position of a firm at a specific point of time. Under the reasonable assumption that the financial position of a firm is unique and representative, we use a basic artificial neural network pattern recognition method on Colombian banks'...
Persistent link: https://www.econbiz.de/10012962410
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An investigation of the effect of variable reduction on classification accuracy rates of consumer loans
Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139
Persistent link: https://www.econbiz.de/10010231895
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A new approach to testing credit rating of financial debt issuers
O'Neill, T. J.; Penm, Jack H. W. - In: International journal of services and standards 3 (2007) 4, pp. 390-401
Persistent link: https://www.econbiz.de/10003603256
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HHT-based classification of composite power quality events
Saxena, D.; Singh, S. N.; Verma, K. S.; Singh, Shiv K. - In: International journal of energy sector management : IJESM 8 (2014) 2, pp. 146-159
Persistent link: https://www.econbiz.de/10010379441
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Fund investment decision in support vector classification based on information entropy
Jiang, Siyang; Yao, Xiuyan; Long, Qianju; Chen, Jiali; … - In: Review of economics & finance 15 (2019) 1, pp. 57-66
Persistent link: https://www.econbiz.de/10012030773
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Realizing the effects of trust and personality in cross functional teams using ANFIS classification framework
Krishankumar, R.; Ravichandran, K. S. - In: Computational and mathematical organization theory 24 (2018) 2, pp. 243-276
Persistent link: https://www.econbiz.de/10011856240
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A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
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Using machine learning for measuring democracy : an update
Gründler, Klaus; Krieger, Tommy - 2021
We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...
Persistent link: https://www.econbiz.de/10012431822
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Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted of samples
Lesany, S. A.; Koochakzadeh, A.; Fatemi Ghomi, S. M. T. - In: International journal of production research 52 (2014) 6, pp. 1771-1786
Persistent link: https://www.econbiz.de/10010257293