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Dynamic Model and its Application in Economic Forecasting

The economic system is an extremely complex system, internal systems affected by many factors, highly nonlinear, time delay and other characteristics. This has brought great difficulties to the economic modeling and forecasting system. This paper presents an improved modeling and forecasting methods, recombinant methods by introducing chain data and add data growth economic indicators in an artificial neural network training, the time series data input window to solve practical engineering problems forecasts.