"Z(MSM0021627505)" . . "15"^^ . . "521042" . "Experimental Identification of the Non-linear Plant with RBF Neural Network" . "The paper deals with a non-recursive and recursive algorithm derivation of estimation of the RBF neural network weights in connection with the same methods of parameters estimation of the linear difference equations. The contribution is assigned first of all to the persons concerned who are acquainted with the methods and their exploitation for adaptive control of technological processes. The detailed theoretical base of the RBF nets is not considered, attention is given chiefly to the practical utilization and verification of the algorithms using simple simulated examples."@en . . . "[9B74DA152C43]" . "Taufer, Ivan" . "Pre\u0161ov, Slovak Republic" . "The paper deals with a non-recursive and recursive algorithm derivation of estimation of the RBF neural network weights in connection with the same methods of parameters estimation of the linear difference equations. The contribution is assigned first of all to the persons concerned who are acquainted with the methods and their exploitation for adaptive control of technological processes. The detailed theoretical base of the RBF nets is not considered, attention is given chiefly to the practical utilization and verification of the algorithms using simple simulated examples." . "Experimental Identification of the Non-linear Plant with RBF Neural Network"@en . "Experiment\u00E1ln\u00ED identifikace nerline\u00E1rn\u00ED soustavy s vyu\u017Eit\u00EDm RBF neuronov\u00E9 s\u00EDt\u011B"@cs . . "25310" . "RIV/00216275:25310/05:00003103" . "Technick\u00E1 univerzita v Ko\u0161iciach. Fakulta v\u00FDrobn\u00FDch technol\u00F3gi\u00ED zo s\u00EDdlom v Pre\u0161ove" . "237-251" . . . . "Pr\u00E1ce se zab\u00FDv\u00E1 adaptivn\u00EDm p\u0159\u00EDm\u00FDm inverzn\u00EDm \u0159\u00EDzen\u00EDm neline\u00E1rn\u00ED soustavy s vyu\u017Eit\u00EDm RBF neuronov\u00E9 s\u00EDt\u011B. S\u00ED\u0165 pln\u00ED funkci adaptivn\u00EDho regul\u00E1toru. Jeho parametry (v\u00E1hy mezi v\u00FDstupy RBF jed-notek ve skryt\u00E9 vrstv\u011B a vstupem v\u00FDstupn\u00EDho neuronu) jsou p\u0159i poruch\u00E1ch p\u016Fsob\u00EDc\u00EDch na regulovanou soustavu p\u0159estavov\u00E1ny v takov\u00E9m smyslu, aby hodnota regulovan\u00E9 veli\u010Diny byla st\u00E1le udr\u017Eov\u00E1na po odezn\u011Bn\u00ED p\u0159echodov\u00E9ho jevu na hodnot\u011B \u017E\u00E1dan\u00E9. P\u0159edpokladem mo\u017Enosti odvozen\u00ED \u0159\u00EDdic\u00EDho algoritmu je znalost analytick\u00E9ho modelu \u0159\u00EDzen\u00E9 soustavy. Algoritmus je sice odvozen pro \u0159\u00EDzen\u00ED konkr\u00E9tn\u00ED sou-stavy, postup lze v\u0161ak aplikovat i na \u0159\u00EDzen\u00ED n\u011Bkter\u00FDch jin\u00FDch typ\u016F soustav. Funk\u010Dnost algoritmu je ov\u011B-\u0159ena na simulovan\u00FDch p\u0159\u00EDkladech."@cs . "radial basic function; artificial neural network; least aquares method"@en . "80-88941-30-X" . . "Dr\u00E1bek, Old\u0159ich" . . . "1"^^ . . . "RIV/00216275:25310/05:00003103!RIV08-MSM-25310___" . "Experimental Identification of the Non-linear Plant with RBF Neural Network"@en . . "Optimal Control of Processes Based on the Use of Informatics Method" . . "Experiment\u00E1ln\u00ED identifikace nerline\u00E1rn\u00ED soustavy s vyu\u017Eit\u00EDm RBF neuronov\u00E9 s\u00EDt\u011B"@cs . "Experimental Identification of the Non-linear Plant with RBF Neural Network" . "2"^^ .