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Cryptocurrencies chaotic co-movement forecasting with neural networksIn this study Non-Linear forecasting models have been implemented to forecast the seven major
Scenario Forecasting Tourist Flows during the COVID-2019 PandemicThe purpose of the study is to obtain a scenario forecast of the volume and rate of recovery
Theoretical foundations of using econometric methods of time series forecasting prepared for these events. That’s the way forecasting appeared. Currently, there are different kinds
Forecasting as a Resource of Socialization of Children with Speech Disorders forecasting capability and indicators of successful socialization in preschoolers with speech disorders
Econometric models for forecasting of macroeconomic indices controlled process by the economic system which can hardly be imagined without indices forecasting
Torrential rain forecast using the mesoscale model WRF-ARWAnnotation. Using a mesoscale model WRF-ARW1we made a torrential rain episode forecast on January 5
Long-term forecasts of heating period duration for the Volga Federal DistrictThe principal fundamentals of the forecast method for heating period duration are considered
Numerical conditioning of neural network components in time series forecastingIn this paper, an issue of stability of fully connected neural network (perceptron), forecasting
Forecast of changes in soil rroperties of foundation of the residential complex in Kazan city (Russia) on the basis of a numerical simulation of geofiltration of twenty buildings, located in the Eastern part of Kazan City. The forecast of changes of hydrogeological
Fuzzy forecasting of the cash flow statement based on accounting data is devoted to the practical aspects of the cash flow statement forecast. The proposed formation method
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