Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model

As a complex system engineering, economic forecasting involves many fields and disciplines, its accuracy largely depends on the selected method model. The construction of traditional prediction model mainly theories statistics metrology, which cannot meet needs new era. ANN has more flexible nonlinear quality learning mode so that it can effectively adapt to scenario system. is an abstract human brain neuronal network based information-processing perspective composed different networks achieve specific representation logical strategies. ANN’s self-learning function, associative storage ability find optimal solutions at high speed have led in-depth application research in increasing number fields. In addition, work continued advance, made great progress represented by forecasting, successfully solved practical problems, showing intelligent adaptation field economics, therefore important value. Based this, this paper first analyzes prediction, then studies medium algorithm, finally verifies effectiveness integrating computer medium.