"Approximation and Prediction of Wages Based on Granular Neural Network"@en . "2"^^ . "Probabilistic time-series; Classic and soft RBF network; Cloud models; Granular computing"@en . "Approximation and Prediction of Wages Based on Granular Neural Network"@en . . "[451305095A0D]" . . "RIV/47813059:19240/09:#0002222" . "Approximation and Prediction of Wages Based on Granular Neural Network" . . . . . . "Approximation and Prediction of Wages Based on Granular Neural Network" . "Mar\u010Dek, Milan" . . "Aproximace a predikce mezd zalo\u017Een\u00E9 na granul\u00E1rn\u00ED euronov\u00E9 s\u00EDt\u00ED"@cs . . "Rough Sets and Knowledge Technology. Third International Conference, RSKT 2008, Chengdu, China, May 2008, Proceedings" . "19240" . "The article offers detailed computational algorithm used in this type of neural networks, extends their applications to fit and predict the data of economic time series, conducts experiments and indicates the gain of granular neural networks, specifically conducting experimentation using the classical (statistical) or econometric methods and conventional/soft RBF neural networks. Results are analysed and opportunities for future research are suggested."@en . . "2008" . "LNAI 5009" . "Aproximace a predikce mezd zalo\u017Een\u00E9 na granul\u00E1rn\u00ED euronov\u00E9 s\u00EDt\u00ED"@cs . "Mar\u010Dek, Du\u0161an" . "\u010Cl\u00E1nek poskytuje detailn\u00ED v\u00FDpo\u010Dtov\u00FD algoritmus navrhnut\u00FD pro aproximaci a predikci \u010Dasov\u00FDch \u0159ad prost\u0159ednictv\u00EDm granula\u010Dn\u00ED RBF s\u00EDt\u011B. Je poskytnut\u00E1 popsan\u00E1 aplikace aproximace a predikce s\u00EDt\u011B na ekonomick\u00E9 \u010Dasov\u00E9 \u0159ade. Sou\u010Dasn\u011B je identifikov\u00E1n p\u0159\u00EDnos vyvinut\u00E9 metody oproti klasick\u00FD statistick\u00FDm, ekonometrick\u00FDm model\u016Fm a model\u016Fm zalo\u017Een\u00FDm a klasick\u00FDch (perceptronov\u00FDch) s\u00EDt\u00EDch. V z\u00E1v\u011Bru je na\u010Drtnut mo\u017En\u00FD sm\u011Br dal\u0161\u00EDho v\u00FDzkumu v t\u00E9to oblasti."@cs . "The article offers detailed computational algorithm used in this type of neural networks, extends their applications to fit and predict the data of economic time series, conducts experiments and indicates the gain of granular neural networks, specifically conducting experimentation using the classical (statistical) or econometric methods and conventional/soft RBF neural networks. Results are analysed and opportunities for future research are suggested." . . "CN - \u010C\u00EDnsk\u00E1 lidov\u00E1 republika" . "RIV/47813059:19240/09:#0002222!RIV09-GA0-19240___" . . . . "8"^^ . "303923" . . "P(GA402/08/0022)" . . "0302-9743" . . "2"^^ .