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一种灰色拓扑改进预测算法及应用研究
引用本文:李志俊,蔡黎,宋业新,张洁.一种灰色拓扑改进预测算法及应用研究[J].长江大学学报,2007,4(2):20-22.
作者姓名:李志俊  蔡黎  宋业新  张洁
作者单位:武汉理工大学自动化学院 湖北武汉430063(李志俊,蔡黎,张洁),海军工程大学理学院 湖北武汉430033(宋业新)
摘    要:将灰色模型GM(1,1)、最小二乘法和拓扑模型相结合,提出了一种灰色拓扑改进预测算法。用此算法对我国人均生活消费能源的发展趋势进行了预测,证明灰色拓扑改进预测算法更加准确。

关 键 词:灰色模型(GM(1  1))  最小二乘法  拓扑模型  人均生活消费能源
文章编号:1673-1409(2007)02-N020-03
修稿时间:2007-02-15

Application and Research on Improved Grey -topological Algorithm for Forecasting
LI Zhi-jun,CAI Li,SONG Ye-xin,ZHANG Jie.Application and Research on Improved Grey -topological Algorithm for Forecasting[J].Journal of Yangtze University,2007,4(2):20-22.
Authors:LI Zhi-jun  CAI Li  SONG Ye-xin  ZHANG Jie
Abstract:Scientific forecast was of great importance to the economic phenomenon research and economic decision-making. Therefore,the research on economic forecast theory and method was always a focus topic.By combining the grey model,least square method,and topological model,an improved grey algorithm for forecasting was proposed.Using this new algorithm,the paper forecasts the tendency of average energy sources consumption per person in our country and draws the conclusions that the new algorithm is more accurate.It is proved the new algorithm is more accurate.
Keywords:grey model  least square method  topotogical model  average energy source consumption per person
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