prikaz prve stranice dokumenta Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju
No public access
doctoral thesis
Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:727313

Andrić, Kristina
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Applied Computing

Cite this document

Andrić, K. (2019). Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:727313

Andrić, Kristina. "Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:727313

Andrić, Kristina. "Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:727313

Andrić, K. (2019). 'Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 September 2020, https://urn.nsk.hr/urn:nbn:hr:168:727313

Andrić K. Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2020 September 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:727313

K. Andrić, "Modeli procjene kreditnoga rizika zasnovani na hibridnim metodama dubinske analize i evolucijskom grupiranju", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:727313

Islandora Bookmark - Please login to use this feature