Feed-forward neural network model verification and evaluation

Sámek, David; Sýkorová, Libuše

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 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-901509-73-5
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
dc.rights.uri	https://open.k.utb.cz/blog/2021/04/19/daaam/
dc.rights.access	openAccess
utb.contributor.internalauthor	Sámek, David
utb.contributor.internalauthor	Sýkorová, Libuše