节点文献
一种灰色拓扑改进预测算法及应用研究
Application and Research on Improved Grey -topological Algorithm for Forecasting
【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。
【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.
【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;
【Key words】 grey model; least square method; topotogical model; average energy source consumption per person;
【Key words】 grey model; least square method; topotogical model; average energy source consumption per person;
【基金】 国防预研基金资助项目(00J15.3.3.JW0528)
- 【文献出处】 长江大学学报(自科版)理工卷 , 编辑部邮箱 ,2007年02期
- 【分类号】N941.5
- 【被引频次】4
- 【下载频次】175