Paper Title:
Solution to China’s GDP Prediction Problem by BP Neural Network
  Abstract

GDP algorithm has become the important means for China’s economic management departments to acquaint with the economic operation conditions and the important basis on which the economic development strategies and planning and various macroeconomic policies are worked out by them. Therefore, research and establishment of GDP model have an important and practical significance. In this paper, the BP neural network is adopted to perform the research and prediction of China’s GDP. Firstly, the original data of larger ones are observed and introduced into the commonly applied function of sigmoid function, but the effect is not ideal and the normalization point concentrates on , which may affect the predicted values, so a simple improvement is made for the sigmoid function to make the function value distribute between 0 and 1 and then the normalized function after improvement is better.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
451-454
DOI
10.4028/www.scientific.net/AMM.50-51.451
Citation
G. C. Zhou, K. L. Wang, T. Cui, "Solution to China’s GDP Prediction Problem by BP Neural Network", Applied Mechanics and Materials, Vols. 50-51, pp. 451-454, 2011
Online since
February 2011
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$32.00
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