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Innovations in artificial neural network applications
ID
Peruš, Iztok
(
Author
),
ID
Terčelj, Milan
(
Author
)
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(220,55 KB)
MD5: A10D273438E921557ECB589081689DEF
URL - Source URL, Visit
https://www.mdpi.com/2076-3417/16/21/10688
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Language:
English
Work type:
Article
Typology:
1.03 - Other scientific articles
Organization:
NTF - Faculty of Natural Sciences and Engineering
Publication status:
Published
Publication version:
Author Accepted Manuscript
Year:
2026
Number of pages:
5 str.
Numbering:
Vol. 16, iss. 21
PID:
20.500.12556/RUL-190462
UDC:
004.8
ISSN on article:
2076-3417
DOI:
10.3390/app162110688
COBISS.SI-ID:
303077635
Publication date in RUL:
29.10.2026
Views:
46
Downloads:
7
Metadata:
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Record is a part of a journal
Title:
Applied sciences
Shortened title:
Appl. sci.
Publisher:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
umetne nevronske mreže
,
fizikalno informirano strojno učenje
,
nevro-simbolna umetna inteligenca
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0268-2020
Name:
Geotehnologija
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