Application of Improved Grey Prediction Model in Jilin Province of the Software Industry

Abstract:

Based on the modified grey prediction model, the outputs of software industry in Jilin Province were predicted. First the historical data and updated the data were pre-treated by iteration. Then it was found that the results from the modified grey prediction model were better than that from traditional grey prediction model by residual analysis. Finally, the prediction about the outputs of software industry in Jilin Province was given for the next five years. According to the experimental results, our proposed new method obviously can improve the prediction accuracy of the original grey model.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 1079-1082
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.1079
• Online since: July 2014
• Authors: Wei Shi Yin, Pin Chao Meng, Yan Zhong Li*
• Keywords: Grey Theory, Improved GM(1,1) Model, Iteration

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DOI: 10.1016/s1874-8651(10)60040-3

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