prikaz prve stranice dokumenta Journal entries with deep learning model
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Scientific paper - review paper
Journal entries with deep learning model
International Journal of Advance Computational Engineering and Networking (IJACEN), 6 (2018), 10; 55-58. urn:nbn:hr:112:259015
Župan, Mario; Letinić, Svjetlana; Budimir, Verica

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Župan, M., Letinić, S. & Budimir, V. (2018). Journal entries with deep learning model. International Journal of Advance Computational Engineering and Networking (IJACEN), 6. (10), 55-58. Retrieved from https://urn.nsk.hr/urn:nbn:hr:112:259015

Župan, Mario, et al. "Journal entries with deep learning model." International Journal of Advance Computational Engineering and Networking (IJACEN), vol. 6, no. 10, 2018, pp. 55-58. https://urn.nsk.hr/urn:nbn:hr:112:259015

Župan, Mario, Svjetlana Letinić and Verica Budimir. "Journal entries with deep learning model." International Journal of Advance Computational Engineering and Networking (IJACEN) 6, no. 10 (2018): 55-58. https://urn.nsk.hr/urn:nbn:hr:112:259015

Župan, M., Letinić, S. and Budimir, V. (2018) 'Journal entries with deep learning model', International Journal of Advance Computational Engineering and Networking (IJACEN), 6(10), pp. 55-58. Available at: https://urn.nsk.hr/urn:nbn:hr:112:259015 (Accessed 24 April 2024)

Župan M, Letinić S, Budimir V. Journal entries with deep learning model. International Journal of Advance Computational Engineering and Networking (IJACEN) [Internet]. 2018 [cited 2024 April 24];6(10):55-58. Available at: https://urn.nsk.hr/urn:nbn:hr:112:259015

M. Župan, S. Letinić and V. Budimir, "Journal entries with deep learning model", International Journal of Advance Computational Engineering and Networking (IJACEN), vol. 6, no. 10, pp. 55-58, 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:112:259015. [Accessed: 24 April 2024]

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Metadata
Title (english)Journal entries with deep learning model
AuthorMario Župan
MBZ: 308991
AuthorSvjetlana Letinić
AuthorVerica Budimir
Author's institutionPolytehnic in Pozega
(Social department)
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract (english)
: Deep learning is the most recent approach to achieve artificial intelligence. Especially neural networks are used for solving many human problems - from repetitive operations to intelligent recognizing in image, sound and text processing. They are used in medicine, car industry, game industry and robotics. Business companies also try to find the way of exploitation of the latest technology despite the fact that it is the long way to the point where machines will be capable to replace the human intelligence. Authors of this paper explore possibilities of semi-supervised learning application in accounting. One of the latest deep learning algorithm is successfully used to reconstruct the journal entry key columns. The model was trained and tested on a real-world dataset so it could become base for developing the wide pallet of accounting and audit applications - as anomaly detection module of Enterprise Resource Planning (ERP) software or as a standalone application.
Keywords (english)
Languageenglish
Publication typeScientific paper - review paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleInternational Journal of Advance Computational Engineering and Networking (IJACEN)
Numberingvol. 6, no. 10, pp. 55-58
p-ISSN2320-2106
URN:NBNurn:nbn:hr:112:259015
Publication2018
Document URLhttp://bib.irb.hr/975468
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2019-03-07 13:31:38