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Title:Uporaba nevronskih mrež pri napovedovanju mehanskih lastnosti jekla
Authors:ID Plešivčnik, Janja (Author)
ID Guid, Nikola (Mentor) More about this mentor... New window
ID Strnad, Damjan (Comentor)
Files:.pdf UNI_Plesivcnik_Janja_2009.pdf (935,91 KB)
MD5: 98EA636CD4BBE56FE329245CF917ABD1
PID: 20.500.12556/dkum/42d1fb48-cb40-4f53-806d-f6ce66f83384
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo predstavili povezavo med dvema različnima področjema, in sicer umetnimi nevronskimi mrežami in jeklarsko industrijo. Povezavo je predstavljalo izbrano programsko orodje, NeuroIntelligence, zasnovano za delo z nevronskimi mrežami. S programom smo želeli dokazati uporabnost le-tega pri napovedovanju natezne trdnosti jekla na osnovi zbranih podatkov že izdelanih jekel. Poleg tega smo lahko praktično prikazali vpliv sestave jekla na njegovo natezno trdnost. Potrebne podatke za obdelavo, bilo jih je blizu štiri tisoč, smo pridobili v podjetju Metal Ravne d.o.o., ki se ukvarja s proizvodnjo jekla.
Keywords:proizvodnja jekla, sestava jekla, natezna trdnost, nevronske mreže, algoritem vzvratnega razširjanja
Place of publishing:Maribor
Publisher:[J. Plešivčnik]
Year of publishing:2009
PID:20.500.12556/DKUM-12248 New window
UDC:004.89.032.26:669.14(043.2)
COBISS.SI-ID:13720598 New window
NUK URN:URN:SI:UM:DK:RAGSI3LU
Publication date in DKUM:28.10.2009
Views:2676
Downloads:311
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Use of neural networks in predicting the mechanical properties of steel
Abstract:In this diploma work, we have presented a connection between two different areas, artificial neural networks and steel industry. Connection between those two areas is selected software, NeuroIntelligence, which is designed to work with neural networks. With this program we demonstrated the prediction of tensile strength of steel, based on a data that we collected from ready-made steel. We may also practical present the influence of the composition of the steel to its tensile strength. Necessary data information for treatment, there were close to four thousand, we acquired from the steel company Metal Ravne d.o.o..
Keywords:steel production, steel composition, tensile strength, neural networks, back propagation algorithm


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