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Cited article:

The Design of a Compound Neural Network-Based Economic Management Model for Advancing the Digital Economy

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Analysis of Transportation Companies in the Czech Republic by the Kohonen Networks - Identification of Industry Leaders

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Communications - Scientific letters of the University of Zilina 23 (1) A32 (2021)
https://doi.org/10.26552/com.C.2021.1.A32-A43

Application of the classical Payout Ratio Model and determination of the limitations of the Lintner Model demonstrated on the example of Komerční banka, PLC

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SHS Web of Conferences 91 01043 (2021)
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An Analysis of the Time Series of the PepsiCo, Inc. (PEP) Share Price and a Prediction of its Development

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https://doi.org/10.1051/shsconf/202112901019

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A Nonlinear Technical Indicator Selection Approach for Stock Markets. Application to the Chinese Stock Market

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Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC

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Integration in Central European capital markets in the context of the global COVID-19 pandemic

Pedro Pardal, Rui Dias, Petr Šuleř, Nuno Teixeira and Tomáš Krulický
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Machine learning forecasting of CR import from PRC in context of mutual PRC and USA sanctions

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Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency

Jakub Horák, Jaromír Vrbka, Tomáš Krulický, et al.
SHS Web of Conferences 73 01008 (2020)
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