| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document

Title:UPORABA NEVRONSKIH MREŽ PRI NAPOVEDOVANJU MEHANSKIH LASTNOSTI JEKLA
Authors:Plešivčnik, Janja (Author)
Guid, Nikola (Mentor) More about this mentor... New window
Strnad, Damjan (Co-mentor)
Files:.pdf UNI_Plesivcnik_Janja_2009.pdf (937,29 KB)
 
Language:Slovenian
Work type:Undergraduate thesis (m5)
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
Year of publishing:2009
Publisher:[J. Plešivčnik]
Source:Maribor
UDC:004.89.032.26:669.14(043.2)
COBISS_ID:13720598 Link is opened in a new window
NUK URN:URN:SI:UM:DK:RAGSI3LU
Views:1779
Downloads:251
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
:
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

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


Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica