0410824 20240103182241.920060210235959.9 Paisley Academic Press 2001 4 s. 1814-1817 real data modelling mixture models parameter estimation cav_un_auth*0212695 Ettler P. CZ cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20020038.ps 12B 09I 99-12058 IST XE CEZ:AV0Z1075907 The paper deals with modelling and estimation of hihg-dimensional real data from rolling mill by means of mixture model. The information about the proses gained in estimation aims to be used for creating an advisory system, improving work of operator controlling the plant. cav_un_auth*0212913 Intelligent Systems for Industry SOCO/ISFI Paisley GB 26.06.2001-29.06.2001 BC AS http://hdl.handle.net/11104/0130911 UTIA-B 20020038 2001 2001 Paisley Academic Press Proceedings of the Symposium Intelligent Systems for Industry SOCO/ISFI 1814 1817