000			01846naa a2200289 i 4500
001			3948
003			KOSZ 005
005			20190610114322.0
008			140617s2003 pl f |100 0 eng
040			_cKOSZ 005 _aKOSZ 005 _dKOSZ 005/HR
041			_aeng
044			_aPOL
084			_a004.032.26
084			_a004.932
084			_a621.791/.795
100	1		_aZAWADA-TOMKIEWICZ, Anna. _d1996 - . _bPolitechnika Koszalińska - Wydział Mechaniczny, _cZakład Zarządzania i Marketingu w Budowie i Eksploatacji Maszyn
245	1	0	_aNeural networks in surface roughness estimation / _cAnna Zawada-Tomkiewicz.
520			_aIn-process inspection systems are necessary for the automatic control of surface quality in a sensor - based manufacturing environment. The machined surface digital image has been applied for the estimation of surface roughness. The measuring system has been built for machined surface digital image acquisition. This image has been analyzed and optimized 4-element feature versus has been prepared. The optimized neural network has been applied for machined surface parameters estimation. The estimation results proved that it is possible to apply the machined surface digital image for the surface roughness on-line monitoring.
650		0	_aPrzetwarzanie obrazów.
650		0	_aSieci neuronowe.
655		0	_aMateriały konferencyjne.
650		0	_aInżynieria powierzchni
711	2	2	_aKOSYR 2003 _n(3 ; _d2003 ; _cMiłków, Polska).
773	0		_iW : _tComputer Recognition Systems / ed. Marek Kurzyński, Edward Puchała, Michał Woźniak. - _dWrocław : Chair of Systems and Computer Networks.Technical University of Wrocław, 2003. - _gs. 279-284.
856			_uhttp://koha.tu.koszalin.pl/cgi-bin/koha/opac-detail.pl?biblionumber=86238 _yKatalog online BPK
942			_cROZ _2UKD
999			_c3948 _d3948