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

Because the choice and important of learning rate , the higher of η and the faster convergence it will be, but it may cause instability or function vibration if is too high; if is lower, although it may avoid instability, the speed of function convergence will reduce. In order to solve the contradiction, we introduce a variable of , and if the this time is the same as that of the previous time, the weighted summation value will increase and it results in the regulation speed of right value at the stable regulation; and if the this time is contrary to that of the previous time, it indicates that a certain vibration and now the result of summation will make the value of decrease to play a role in stability and increase the speed of function convergence.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
423-427
DOI
10.4028/www.scientific.net/AMM.50-51.423
Citation
J. Li, Y. F. Ya, H. M. Wu, "Solution to China’s GDP Prediction Problem by BP Neural Network", Applied Mechanics and Materials, Vols. 50-51, pp. 423-427, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yu Lin Liu, Jun Qi Yang
Abstract:Based on neural network method and by using the relevant social and economic development history index data, this paper establishes the...
1154
Authors: Xiao Li Lu, Dian Chao Wang
Abstract:This paper built a road network evaluation system on the basis of the theory and methods of road network construction projects, and then...
1291
Authors: Yu Xi Jiang, Xiang Chao Wei, Li Lin
Chapter 4: Management and Economy
Abstract:The energy problem is very important to the economic and social developments. Based on grey theory, this paper presents a GM (1,1) model....
532
Authors: Jian Xiang Wang, Hui Zhang
Chapter 10: Development and Management of the Energy and Resource Industry
Abstract:Based on some economic assumptions, derived the energy equipment and forecast model. Application of this model into China’s energy forecast...
1189