Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00001957" target="_blank" >RIV/75081431:_____/21:00001957 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.nasemore.com/wp-content/uploads/2018/11/11.-Hlatka-Bartuska.pdf" target="_blank" >http://www.nasemore.com/wp-content/uploads/2018/11/11.-Hlatka-Bartuska.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/jrfm14010036" target="_blank" >10.3390/jrfm14010036</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity
Popis výsledku v původním jazyce
The study is based on a highly topical sophisticated model of neural networks, which provides clear results confirming the unintended positive effect. The time series and aggregated data became inputs into multilayer perceptron networks, while the methodology used enabled eliminating of both too large averaging and extreme fluctuations of the equalized time series. Out of 10,000 networks created for each variable and each time lag, five showing the best characteristics given by correlation coefficients and absolute residual sums are retained.
Název v anglickém jazyce
Sanctions as a Catalyst for Russia's and China's Balance of Trade: Business Opportunity
Popis výsledku anglicky
The study is based on a highly topical sophisticated model of neural networks, which provides clear results confirming the unintended positive effect. The time series and aggregated data became inputs into multilayer perceptron networks, while the methodology used enabled eliminating of both too large averaging and extreme fluctuations of the equalized time series. Out of 10,000 networks created for each variable and each time lag, five showing the best characteristics given by correlation coefficients and absolute residual sums are retained.

Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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