Solution to China’s GDP Prediction Problem by BP Neural Network

Abstract:

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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 et al., "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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Price:

$35.00

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