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Description
| - The paper is focused at modeling of the Czech economic development given the changes in the input macro-parameters. The GDP time series for 1995 ? 2005 were used as outputs of the model GDP = f (K, L, E, M). The neural networks method was used for regression of the production function with (15-3-1) and (5-4-1) structure. The influence of the primary energy sources? (E) input decrease and connected fixed capital value (K) increase (driven by energy saving investments) on the level of GDP was modeled according to four scenarios.
- The paper is focused at modeling of the Czech economic development given the changes in the input macro-parameters. The GDP time series for 1995 ? 2005 were used as outputs of the model GDP = f (K, L, E, M). The neural networks method was used for regression of the production function with (15-3-1) and (5-4-1) structure. The influence of the primary energy sources? (E) input decrease and connected fixed capital value (K) increase (driven by energy saving investments) on the level of GDP was modeled according to four scenarios. (en)
- Článek je zaměřen na modelování vývoje českého hospodářství za předpokladu změn vstupních makroekonomických parametrů. Údaje o GDP v ČR v létech 1995 ? 2005 byly interpretovány jako výstupy modelu GDP = f (K, L, E, M). K regresi této funkce bylo použito metody neuronových sítí, a to o struktuře (15-3-1) a struktuře (5-4-1). Ve čtyřech variantách byl modelován vliv poklesu faktoru vstupu primárních energetických zdrojů (E) a s tím souvisejícího zvýšení hodnoty fixního kapitálu (K) ve spojení s realizací inovací snižujících spotřebu energie na velikost GDP. (cs)
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Title
| - GDP indicator and its prediction based on KLEM production function
- GDP indicator and its prediction based on KLEM production function (en)
- Ukazatel GDP a jeho predikce pomocí produkční funkce KLEM. (cs)
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skos:prefLabel
| - GDP indicator and its prediction based on KLEM production function
- GDP indicator and its prediction based on KLEM production function (en)
- Ukazatel GDP a jeho predikce pomocí produkční funkce KLEM. (cs)
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skos:notation
| - RIV/44555601:13520/08:00004313!RIV09-AV0-13520___
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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...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/44555601:13520/08:00004313
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - production function; neural networks; economic development modelling; Czech Republic. (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings from International Scientific Conference Sustainability Accounting and Reporting on Micro-Economical and Macro-Economical Level, Brno, May 19-21, 2008
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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...iv/tvurceVysledku
| - Farský, Miroslav
- Ritschelová, Iva
- Sidorov, Egor
- Iša, J.
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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