. . . "2"^^ . . "clustering; financial situation of companies; classification; neural network; self-learning"@en . . . "Comparison of the applicability of neural networks and cluster classification methods on the example company's financial situation"@en . . "Srovn\u00E1n\u00ED pou\u017Eitelnosti neuronov\u00FDch s\u00EDt\u00ED a clusterovac\u00EDch metod na p\u0159\u00EDkladu klasifikace finan\u010Dn\u00ED situace podniku" . "[43EEBD7EAE9A]" . "Z(MSM6215648904)" . . "Trenz, Old\u0159ich" . "Srovn\u00E1n\u00ED pou\u017Eitelnosti neuronov\u00FDch s\u00EDt\u00ED a clusterovac\u00EDch metod na p\u0159\u00EDkladu klasifikace finan\u010Dn\u00ED situace podniku" . "CZ - \u010Cesk\u00E1 republika" . . . . . "RIV/62156489:43110/10:00166965" . "43110" . "6" . "289493" . "8"^^ . "P\u0159\u00EDsp\u011Bvek je zam\u011B\u0159en na porovn\u00E1n\u00ED klasifika\u010Dn\u00ED schopnost\u00ED modelu samou\u010D\u00EDc\u00ED se neuronov\u00E9 s\u00EDt\u011B a metod z oblasti shlukov\u00E9 anal\u00FDzy. D\u016Fraz je kladen zejm\u00E9na na srovn\u00E1n\u00ED t\u011Bchto rozd\u00EDln\u00FDch p\u0159\u00EDstup\u016F na konkr\u00E9tn\u00EDm aplika\u010Dn\u00EDm p\u0159\u00EDkladu nasazen\u00ED, klasifikaci finan\u010Dn\u00ED situace podniku. Snahou je kriticky zhodnotit jednotliv\u00E9 p\u0159\u00EDstupy a to na \u00FArovni jejich pou\u017Eitelnost a mo\u017Enosti nasazen\u00ED. Pro ov\u011B\u0159en\u00ED klasifika\u010Dn\u00EDch schopnost\u00ED jednotliv\u00FDch p\u0159\u00EDstup\u016F byla pou\u017Eita finan\u010Dn\u00ED data z datab\u00E1ze %22Credit info%22, konkr\u00E9tn\u011B data popisuj\u00EDc\u00ED finan\u010Dn\u00ED situaci dv\u011B st\u011B jeden\u00E1cti zem\u011Bd\u011Blsk\u00FDch podnik\u016F z homogenn\u00ED a stejnorod\u00E9 oblasti prvov\u00FDroby. Vstupn\u00ED data byla v dal\u0161\u00EDm, dle pou\u017Eit\u00E9 metody, upravena a vyhodnocena p\u0159\u00EDslu\u0161nou metodikou. Nalezen\u00E9 v\u00FDsledn\u00E9 \u0159e\u0161en\u00ED uk\u00E1zalo, \u017Ee pou\u017Eit\u00E9 p\u0159\u00EDstupy nevykazuj\u00ED v\u00FDrazn\u00E9 rozd\u00EDly, a lze tak \u0159\u00EDci, \u017Ee jsou ekvivalentn\u00ED. Na z\u00E1klad\u011B tohoto zji\u0161t\u011Bn\u00ED lze formulovat z\u00E1v\u011Br, \u017Ee p\u0159\u00EDstup z oblasti um\u011Bl\u00E9 inteligence (samou\u010D\u00EDc\u00ED se neuronov\u00E1 s\u00ED\u0165) je stejn\u011B efektivn\u00ED jako d\u00EDl\u010D\u00ED metody z oblasti shlukov\u00E9 ana" . . "The paper is focused on comparing the classification ability of the model with self-learning neutral network and methods from cluster analysis. The emphasis is particularly on the comparison of different approaches to a specific application example of the commitment, the classification of then financial situation. The aim is to critically evaluate different approaches at the level of application and deployment options. The verify the classification capability of the different approaches were used financial data from the database %22Credit Info%22, in particular data describing the financial situation of the two hundred eleven farms of homogeneous and uniform primary field. Input data were from the methods used, modified and evaluated by appropriate methodology. Found the final solution showed that the used approaches do not show significant differences, and they can say that they are equivalent. Based on this finding can formulate the conclusion that the approach of artificial intelligence (self-learn"@en . . . "2010" . . "Kone\u010Dn\u00FD, Vladim\u00EDr" . "Srovn\u00E1n\u00ED pou\u017Eitelnosti neuronov\u00FDch s\u00EDt\u00ED a clusterovac\u00EDch metod na p\u0159\u00EDkladu klasifikace finan\u010Dn\u00ED situace podniku"@cs . "RIV/62156489:43110/10:00166965!RIV11-MSM-43110___" . . "Comparison of the applicability of neural networks and cluster classification methods on the example company's financial situation"@en . "Srovn\u00E1n\u00ED pou\u017Eitelnosti neuronov\u00FDch s\u00EDt\u00ED a clusterovac\u00EDch metod na p\u0159\u00EDkladu klasifikace finan\u010Dn\u00ED situace podniku"@cs . "Acta universitatis agriculturae et silviculturae Mendelianae Brunensis" . . "2"^^ . "P\u0159\u00EDsp\u011Bvek je zam\u011B\u0159en na porovn\u00E1n\u00ED klasifika\u010Dn\u00ED schopnost\u00ED modelu samou\u010D\u00EDc\u00ED se neuronov\u00E9 s\u00EDt\u011B a metod z oblasti shlukov\u00E9 anal\u00FDzy. D\u016Fraz je kladen zejm\u00E9na na srovn\u00E1n\u00ED t\u011Bchto rozd\u00EDln\u00FDch p\u0159\u00EDstup\u016F na konkr\u00E9tn\u00EDm aplika\u010Dn\u00EDm p\u0159\u00EDkladu nasazen\u00ED, klasifikaci finan\u010Dn\u00ED situace podniku. Snahou je kriticky zhodnotit jednotliv\u00E9 p\u0159\u00EDstupy a to na \u00FArovni jejich pou\u017Eitelnost a mo\u017Enosti nasazen\u00ED. Pro ov\u011B\u0159en\u00ED klasifika\u010Dn\u00EDch schopnost\u00ED jednotliv\u00FDch p\u0159\u00EDstup\u016F byla pou\u017Eita finan\u010Dn\u00ED data z datab\u00E1ze %22Credit info%22, konkr\u00E9tn\u011B data popisuj\u00EDc\u00ED finan\u010Dn\u00ED situaci dv\u011B st\u011B jeden\u00E1cti zem\u011Bd\u011Blsk\u00FDch podnik\u016F z homogenn\u00ED a stejnorod\u00E9 oblasti prvov\u00FDroby. Vstupn\u00ED data byla v dal\u0161\u00EDm, dle pou\u017Eit\u00E9 metody, upravena a vyhodnocena p\u0159\u00EDslu\u0161nou metodikou. Nalezen\u00E9 v\u00FDsledn\u00E9 \u0159e\u0161en\u00ED uk\u00E1zalo, \u017Ee pou\u017Eit\u00E9 p\u0159\u00EDstupy nevykazuj\u00ED v\u00FDrazn\u00E9 rozd\u00EDly, a lze tak \u0159\u00EDci, \u017Ee jsou ekvivalentn\u00ED. Na z\u00E1klad\u011B tohoto zji\u0161t\u011Bn\u00ED lze formulovat z\u00E1v\u011Br, \u017Ee p\u0159\u00EDstup z oblasti um\u011Bl\u00E9 inteligence (samou\u010D\u00EDc\u00ED se neuronov\u00E1 s\u00ED\u0165) je stejn\u011B efektivn\u00ED jako d\u00EDl\u010D\u00ED metody z oblasti shlukov\u00E9 ana"@cs . "1211-8516" .