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Description
| - Článek celkově pojednává o klasických ekonometrických metodech a o soft computingových technikách s využitím na predikci ekonomických časových řad. Popisuje se koncept ekonometrického a statistického modelování, prezentují se klasické a novější modely, diskutuje se použití dekompozičních metod založených na trendovém a sezónním komponentu a koncept kointegrace pro modelování a predikci časových řad. Dále se uvádějí autoregresívní a vyhlazovací procedury, modely přenosových funkcí s odkazy na několik aplikací, které ilustrují využití těchto technik. Nakonec se pojednává o použití nejnovějších modelovacích přístupech jako jsou učení z experimentálních dat (statistical learning), neuronové sítě a metody založené na fuzzy logice (fuzzy množinách). (cs)
- The general methodological framework of classical econometric approach and soft computing approach are considered to forecast economic time series. Some theoretical concepts are discussed. The article introduces the concept of econometric and time series modelling, demonstrates some of the classical and later econometric models, discusses the use of decomposition techniques to model and forecast time series described by trend and seasonal components. The use of co-integration concept is discussed as well. The autoregressive and direct smoothing procedures and transfer function models and several applications illustrating these approaches in practical situations are introduced and presented. Finally, we introduce and examine the use of novel-modelling techniques such as learning from experimental data (statistical learning) neural networks and fuzzy logic methods.
- The general methodological framework of classical econometric approach and soft computing approach are considered to forecast economic time series. Some theoretical concepts are discussed. The article introduces the concept of econometric and time series modelling, demonstrates some of the classical and later econometric models, discusses the use of decomposition techniques to model and forecast time series described by trend and seasonal components. The use of co-integration concept is discussed as well. The autoregressive and direct smoothing procedures and transfer function models and several applications illustrating these approaches in practical situations are introduced and presented. Finally, we introduce and examine the use of novel-modelling techniques such as learning from experimental data (statistical learning) neural networks and fuzzy logic methods. (en)
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Title
| - Quantitative tools and soft computing in management information systems
- Kvantitatívní nástroje a soft computing v manažerských informačních systémech (cs)
- Quantitative tools and soft computing in management information systems (en)
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skos:prefLabel
| - Quantitative tools and soft computing in management information systems
- Kvantitatívní nástroje a soft computing v manažerských informačních systémech (cs)
- Quantitative tools and soft computing in management information systems (en)
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skos:notation
| - RIV/47813059:19240/06:#0000170!RIV07-GA0-19240___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/47813059:19240/06:#0000170
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - SC techniques; econometric modelling; management information and prediction systems (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - Jounal of Information, Control and Management Sytems
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Marček, Dušan
- Marček, Millan
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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