Research and analysis of GDP prediction based on cyclic neural network
GDP(Gross Domestic Product)and GDP per capita are two symbolic indicators of a country's economic strength,reflecting the economic development of a country.The LSTM(Long Short-Term Memory)network are trained through the GDP and per capita GDP data provided by the World Bank since 1976,the result of which is used to predict the per capita GDP of six countries.By compa-ring the predicted value with the actual value,this paper reaches the conclusion that the prediction effect of LSTM network on GDP per capita is significantly better than that by using the traditional statistical method.
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