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Ein lernendes Mustererkennungssystem zur betrieblichen Prozesssteuerung : Entwicklung eines Expertensystems
Bünger, Josef - 1988
Persistent link: https://www.econbiz.de/10013275193
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Process mining through artificial neural networks and support vector machines : a systematic literature review
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415
Persistent link: https://www.econbiz.de/10011487995
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Problemmustererkennung zur Auswahl von Verschnittplanungsverfahren : ein Expertensystem
Moll, Rainer - 1987
Persistent link: https://www.econbiz.de/10013175369
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Non-Euclidean problems in pattern recognition related to human expert knowledge
Duin, Robert P. W. - In: Enterprise information systems : 12th International …, (pp. 15-28). 2011
Persistent link: https://www.econbiz.de/10009012956
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Detecting corporate tax evasion using a hybrid intelligent system : a case study of Iran
Rahimikia, Eghbal; Mohammadi, Shapour; Rahmani, Teymur; … - In: International journal of accounting information systems 25 (2017), pp. 1-17
Persistent link: https://www.econbiz.de/10011730014
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Predicting hospitality firm failure : mixed sample modelling
Li, Hui; Xu, Yu-Hui; Yu, Lean - In: International journal of contemporary hospitality management 29 (2017) 7, pp. 1770-1792
Persistent link: https://www.econbiz.de/10011776983
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Cooperative fuzzy expert systems : their design and applications in intelligent recognition
Schneider, Moti; Kandel, Abraham - 1988
Persistent link: https://www.econbiz.de/10004685716
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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
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...
Persistent link: https://www.econbiz.de/10014502270
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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
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On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines
Du, Shichang; Lv, Jun; Xi, Lifeng - In: International journal of production research 50 (2012) 22, pp. 6288-6310
Persistent link: https://www.econbiz.de/10009673602