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master's thesis
Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa
Slavonski Brod: Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, 2020. urn:nbn:hr:153:547156
Pavković, Marko
Josip Juraj Strossmayer University of Osijek
Mechanical Engineering Faculty in Slavonski Brod

Institutional repository: Repository of Mechanical Engineering in Slavonski Brod

Cite this document

Pavković, M. (2020). Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa (Master's thesis). Slavonski Brod: Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod. Retrieved from https://urn.nsk.hr/urn:nbn:hr:153:547156

Pavković, Marko. "Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa." Master's thesis, Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, 2020. https://urn.nsk.hr/urn:nbn:hr:153:547156

Pavković, Marko. "Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa." Master's thesis, Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, 2020. https://urn.nsk.hr/urn:nbn:hr:153:547156

Pavković, M. (2020). 'Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa', Master's thesis, Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:153:547156

Pavković M. Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa [Master's thesis]. Slavonski Brod: Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod; 2020 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:153:547156

M. Pavković, "Primjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa", Master's thesis, Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Slavonski Brod, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:153:547156

Metadata
TitlePrimjena umjetnih neuronskih mreža u procjenjivanju parametara tehnološkog procesa
Title (english)Application of artificial neural networks in the estimation of technological process parameters
AuthorMarko Pavković
MentorGoran Šimunović (mentor)
Committee memberGoran Šimunović (član povjerenstva)
Committee memberRoberto Lujić (predsjednik povjerenstva)
Committee memberKatica Šimunović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Mechanical Engineering Faculty in Slavonski Brod
Slavonski Brod
Defense date and country2020-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom diplomskom radu općenito su opisani pojmovi vezani uz umjetnu inteligenciju, navedene su metode umjetne inteligencije, te su ukratko objašnjene. U softveru NeuroIntelligence tvrtke Alyuda prikazan je primjer primjene umjetnih neuronskih mreža za predviđanje parametara hrapavosti i trošenja rezne pločice na osnovi ulaznih podataka posmaka, brzine rezanja i dubine rezanja. Pored toga, opisana je optimizacija obradnih procesa, te je prikazan jedan optimizacijski primjer parametara obrade.
Abstract (english)
In this thesis, the concepts of artificial intelligence are described in general, the methods of artificial intelligence are listed, and they are briefly explained. Alyuda's NeuroIntelligence software shows an example of the application of artificial neural networks to predict cutting inserts roughness and wear parameters based on feed input data, cutting speed and cutting depth. In addition, the optimization of machining processes is briefly described, and one optimization example of machining parameters is presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:153:547156
Study programmeTitle: Graduate Study Mechanical Engineering; specializations in: Design and Product Development, Manufacturing Logistics, Materials Engineering, Engineering Technologies, Power Engineering
Course: Manufacturing Logistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-10-13 08:49:29