Economic Adjustment Analysis Based on Artificial Neural Network
Jian Chen, You Wei, Tian Jin-xin · 2006
This study is based on Neural Networks approach trained from the input and output data of economic system as samples. The analytical data used in this study is from Beijing Statistical Yearbook. After normalizing the data to meet the training requirement and using the method of neural network ensemble, the net which represents the inter-relationship between input and output items of the economic system has been built. By altering input items, observing the effects on output items, we made an analysis for economy adjusting. And the constraints according to the real contradictions between the input items are set in the simulation process. Then by changing the specific two items which constitute a couple of contradiction within a proper range, we observed the developing trends of the output items. The results show trends of output items are reasonable, and several useful conclusions has been draw