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Feed-forward neural network model verification and evaluation

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dc.title Feed-forward neural network model verification and evaluation en
dc.contributor.author Sámek, David
dc.contributor.author Sýkorová, Libuše
dc.relation.ispartof Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn 1726-9679 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783901509735
dc.date.issued 2010
dc.citation.spage 583
dc.citation.epage 584
dc.event.title Annals of DAAAM for 2010 and 21st International DAAAM Symposium Intelligent Manufacturing and Automation: Focus on Interdisciplinary Solutions""
dc.event.location Zadar
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.event.sdate 2010-10-20
dc.event.edate 2010-10-23
dc.type conferenceObject
dc.language.iso en
dc.publisher Danube Adria Association for Automation and Manufacturing, DAAAM
dc.relation.uri http://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2010/21842_Annals_2_head.pdf
dc.subject Artificial en
dc.subject Laser en
dc.subject Micro-machining en
dc.subject Network en
dc.subject Neural en
dc.description.abstract The paper deals with laser micro-machining of polymer material. The experimental data are processed and modelled by artificial neural network (multilayered feedforward neural network). Furthermore, the new set of experiments was performed to test and verify the obtained neural model. The acquired results are graphically displayed and evaluated. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1005179
utb.identifier.rivid RIV/70883521:28110/10:63509300!RIV11-MSM-28110___
utb.identifier.obdid 43863745
utb.identifier.scopus 2-s2.0-84904420186
utb.source d-scopus
dc.date.accessioned 2015-06-29T11:54:18Z
dc.date.available 2015-06-29T11:54:18Z
utb.contributor.internalauthor Sámek, David
utb.contributor.internalauthor Sýkorová, Libuše
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