JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2021, Vol. 56 ›› Issue (11): 38-42.doi: 10.6040/j.issn.1671-9352.4.2021.227

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Properties and improvement of GM(1,1)models

PAN Hao1, GAO Shang2*   

  1. 1. Suzhou Institute of Construction &
    Communications, Suzhou 215104, Jiangsu, China;
    2. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu, China
  • Published:2021-11-15

Abstract: Based on theoretical analysis of GM(1,1)model, the conclusion, which the initiative number has no effect on the prediction, is got. GM(1,1)model is improved and GM(1,1)model I is given. When add an identical number to the original series, the forecast values will change. GM(1, 1)model Ⅱ is given, and using particle swarm algorithm, the best increase is got. Simulation results show that the improved GM(1, 1)model Ⅰ and GM(1, 1)model Ⅱ have higher accuracy.

Key words: GM(1,1)model, simplify, precision, particle swarm algorithm

CLC Number: 

  • N941.5
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