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Predicting credit card delinquencies : an application of deep neural networks
Sun, Ting; Vasarhelyi, Miklos A. - In: Intelligent systems in accounting finance and … 25 (2018) 4, pp. 174-189
Persistent link: https://www.econbiz.de/10012035532
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The impact of financial enterprises’ excessive financialization risk assessment for risk control based on data mining and machine learning
Song, Yuegang; Wu, Ruibing - In: Computational economics 60 (2022) 4, pp. 1245-1267
Persistent link: https://www.econbiz.de/10013445743
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Exploring continuous improvement for safety management systems through artificial neural networks
Menanno, Marialuisa; Savino, Matteo Mario; Ciarapica, … - In: International journal of product development : IJPD 25 (2021) 3, pp. 213-241
Persistent link: https://www.econbiz.de/10012672347
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Research in risk assessment for textile and apparel and propose a future research agenda with a conceptual framework
Wu, Xiongying; Chen, Lihong; Zhou, Yuan; Ding, Xuemin - In: International journal of productivity and quality … 17 (2016) 3, pp. 273-288
Persistent link: https://www.econbiz.de/10011587555
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A cloud-based fuzzy expert system for the risk assessment of chronic kidney diseases
Wu, Chien-Hua; Chiu, Ruey-Kei; Wang, Shin-An - In: International journal of business and systems research 9 (2015) 4, pp. 315-333
Persistent link: https://www.econbiz.de/10011589081
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Hybrid model of an expert system for assessing the stability of a production system
Burduk, Anna; Grzybowska, Katarzyna; Kovács, Gábor - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 14 (2018) 4, pp. 507-518
Persistent link: https://www.econbiz.de/10012153803
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The use of a hybrid model of the expert system for assessing the potentiality of manufacturing the assumed quantity of wire harnesses
Burduk, Anna; Grzybowska, Katarzyna; Safonyk, Andrii - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 15 (2019) 4, pp. 459-473
Persistent link: https://www.econbiz.de/10012155446
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Identifying wildland fire ignition factors through sensitivity analysis of a neural network
Vasilakos, Christos; Kalabokidis, Kostas; Hatzopoulos, John - In: Natural Hazards 50 (2009) 1, pp. 125-143
Artificial neural networks (ANNs) show a significant ability to discover patterns in data that are too obscure to go through standard statistical methods. Data of natural phenomena usually exhibit significantly unpredictable non-linearity, but the robust behavior of a neural network makes it...
Persistent link: https://www.econbiz.de/10010995910
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DeepVaR : a framework for portfolio risk assessment leveraging probabilistic deep neural networks
Fatouros, Georgios; Makridis, Georgios; Kotios, Dimitrios; … - In: Digital finance : smart data analytics, investment … 5 (2023) 1, pp. 29-56
Persistent link: https://www.econbiz.de/10014251567
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763