"3"^^ . "[B9703F6D4AAC]" . "Anal\u00FDza chemick\u00E9ho p\u0159\u00EDsevu oceli prost\u0159ednictv\u00EDm regrese a um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED." . . "Zimn\u00FD, Ond\u0159ej" . "Analysis of Chemical Reheating of Steel by Means of Regression and Artificial Neural Networks"@en . . "Anal\u00FDza chemick\u00E9ho p\u0159\u00EDsevu oceli prost\u0159ednictv\u00EDm regrese a um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED."@cs . . . "S" . . "Ostrava" . "Mor\u00E1vka, J." . "RIV/61989100:27360/09:00022116" . "Metalurgick\u00E9 procesy pat\u0159\u00ED mezi slo\u017Eit\u00E9 fyzik\u00E1ln\u011B-chemick\u00E9 procesy teoreticky popsateln\u00E9 pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch obecn\u011B neline\u00E1rn\u00EDch dynamick\u00FDch syst\u00E9m\u016F s r\u016Fzn\u00FDmi dopravn\u00EDmi zpo\u017Ed\u011Bn\u00EDmi v jejich struktu\u0159e. P\u0159ed realizac\u00ED prax\u00ED po\u017Eadovan\u00E9 \u00FAlohy \u0159\u00EDzen\u00ED t\u011Bchto syst\u00E9m\u016F je pot\u0159ebn\u00E9 prov\u00E9st jejich struktur\u00E1ln\u00ED a parametrickou identifikaci. Jeliko\u017E jde o procesy velmi slo\u017Eit\u00E9 a komplexn\u00ED, nejsou doposud zn\u00E1m\u00E9 v\u0161echny exaktn\u00ED vztahy pro jejich matematick\u00FD popis. N\u011Bkter\u00E9 metalurgick\u00E9 syst\u00E9my jsou zat\u00EDm prakticky nepopsan\u00E9 (tzv. \u010Dern\u00E1 sk\u0159\u00EDnka), dal\u0161\u00ED popsan\u00E9 pouze \u010D\u00E1ste\u010Dn\u011B (tzv. \u0161ed\u00E1 sk\u0159\u00EDnka), zat\u00EDmco jen velice m\u00E1lo z nich je popsan\u00FDch t\u00E9m\u011B\u0159 \u00FApln\u011B (tzv. b\u00EDl\u00E1 sk\u0159\u00EDnka). Zji\u0161\u0165ov\u00E1n\u00ED vnit\u0159n\u00ED struktury nedostate\u010Dn\u011B popsan\u00FDch syst\u00E9m\u016F se d\u011Bje prost\u0159ednictv\u00EDm fyzik\u00E1ln\u00EDho modelov\u00E1n\u00ED, prost\u0159ednictv\u00EDm m\u011B\u0159en\u00ED d\u016Fle\u017Eit\u00FDch veli\u010Din a n\u00E1sledn\u011B pomoc\u00ED regresn\u00ED anal\u00FDzy \u010Di um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED aplikovan\u00FDch na m\u011B\u0159en\u00E1 data. P\u0159i identifikaci syst\u00E9m\u016F pomoc\u00ED metod statistick\u00E9 anal\u00FDzy je ur\u010Dit\u00E1 \u0161ance dop\u00E1trat se jejich vhodn\u00E9 vnit\u0159n" . "303041" . . "978-80-87294-03-1" . "Metallurgical processes belong to complex physical-chemical processes theoretically described by means of multidimensional generally nonlinear dynamic systems with different transfer lags in their structure. Before realization of these systems control requested by practice it is necessary to execute their structural and parametric identification. As these processes are very complex, all exact relations for their mathematical description are not known so far. Some metallurgical systems are practically non-described so far (black box), further described only partially (grey box), while only a little of them are described almost fully (white box). Determination of internal structure of insufficiently described systems is done by means physical modeling, by measurement if important data and subsequently by means of regression analysis or artificial neural networks applied to measured data. There is certain chance to determine a proper system internal structure at system identification by means of stat"@en . "2009-05-19+02:00"^^ . . "Analysis of Chemical Reheating of Steel by Means of Regression and Artificial Neural Networks"@en . "27360" . . "Tanger s.r.o." . . "Anal\u00FDza chemick\u00E9ho p\u0159\u00EDsevu oceli prost\u0159ednictv\u00EDm regrese a um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED." . "1"^^ . . "Sborn\u00EDk International Conference Metal 2009" . . "Metalurgick\u00E9 procesy pat\u0159\u00ED mezi slo\u017Eit\u00E9 fyzik\u00E1ln\u011B-chemick\u00E9 procesy teoreticky popsateln\u00E9 pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch obecn\u011B neline\u00E1rn\u00EDch dynamick\u00FDch syst\u00E9m\u016F s r\u016Fzn\u00FDmi dopravn\u00EDmi zpo\u017Ed\u011Bn\u00EDmi v jejich struktu\u0159e. P\u0159ed realizac\u00ED prax\u00ED po\u017Eadovan\u00E9 \u00FAlohy \u0159\u00EDzen\u00ED t\u011Bchto syst\u00E9m\u016F je pot\u0159ebn\u00E9 prov\u00E9st jejich struktur\u00E1ln\u00ED a parametrickou identifikaci. Jeliko\u017E jde o procesy velmi slo\u017Eit\u00E9 a komplexn\u00ED, nejsou doposud zn\u00E1m\u00E9 v\u0161echny exaktn\u00ED vztahy pro jejich matematick\u00FD popis. N\u011Bkter\u00E9 metalurgick\u00E9 syst\u00E9my jsou zat\u00EDm prakticky nepopsan\u00E9 (tzv. \u010Dern\u00E1 sk\u0159\u00EDnka), dal\u0161\u00ED popsan\u00E9 pouze \u010D\u00E1ste\u010Dn\u011B (tzv. \u0161ed\u00E1 sk\u0159\u00EDnka), zat\u00EDmco jen velice m\u00E1lo z nich je popsan\u00FDch t\u00E9m\u011B\u0159 \u00FApln\u011B (tzv. b\u00EDl\u00E1 sk\u0159\u00EDnka). Zji\u0161\u0165ov\u00E1n\u00ED vnit\u0159n\u00ED struktury nedostate\u010Dn\u011B popsan\u00FDch syst\u00E9m\u016F se d\u011Bje prost\u0159ednictv\u00EDm fyzik\u00E1ln\u00EDho modelov\u00E1n\u00ED, prost\u0159ednictv\u00EDm m\u011B\u0159en\u00ED d\u016Fle\u017Eit\u00FDch veli\u010Din a n\u00E1sledn\u011B pomoc\u00ED regresn\u00ED anal\u00FDzy \u010Di um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED aplikovan\u00FDch na m\u011B\u0159en\u00E1 data. P\u0159i identifikaci syst\u00E9m\u016F pomoc\u00ED metod statistick\u00E9 anal\u00FDzy je ur\u010Dit\u00E1 \u0161ance dop\u00E1trat se jejich vhodn\u00E9 vnit\u0159n"@cs . . "Jan\u010D\u00EDkov\u00E1, Zora" . . . . "RIV/61989100:27360/09:00022116!RIV10-MSM-27360___" . "neural networks; regression analysis; prediction; model; metallurgy"@en . "Hradec nad Moravic\u00ED" . "Anal\u00FDza chemick\u00E9ho p\u0159\u00EDsevu oceli prost\u0159ednictv\u00EDm regrese a um\u011Bl\u00FDch neuronov\u00FDch s\u00EDt\u00ED."@cs . "1"^^ . . .