The application of artificial neural networks in optimization of heat treatment processes of steel

dc.contributor.authorWołowiec, Emilia
dc.contributor.authorKula, Piotr
dc.date.accessioned2015-06-03T11:16:00Z
dc.date.available2015-06-03T11:16:00Z
dc.date.issued2011
dc.description.abstractThis article is dedicated to processes of vacuum carburization, which constitute an alternative method to industrial multi-segment carburization. Special attention has been paid to the possibility of using artificial neural networks to design processes of such type. The following subchapters deal with the essence and purposes of vacuum carburization, the course of research on processes and the possibility of using neural networks to design such processes, and the architecture of a sample neural network which achieves this goal.en_EN
dc.formatapplication/pdf
dc.identifier.citationJournal of Applied Computer Science., 2011 Vol.19 nr 1 s.161-169
dc.identifier.issn1507-0360
dc.identifier.other0000031105
dc.identifier.urihttp://hdl.handle.net/11652/454
dc.language.isoen
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology. Pressen_EN
dc.relation.ispartofseriesJournal of Applied Computer Science., 2011 Vol.19 nr 1en_EN
dc.titleThe application of artificial neural networks in optimization of heat treatment processes of steel
dc.typeArtykuł

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