摘要
将基函数的概念与灰色拓扑预测方法相结合,对某算例进行了预测。预测结果表明,由于该方法能够充分挖掘并扩展了原始数据列的信息,因此与常规灰色拓扑预测方法比较,其预测曲线的趋势与精度均有所提高,有效克服了原始数据数值变化剧烈所带来的非线性的影响。
In this paper, the author forecasts a foregone example by combined the primary funtion and grey topological predicting approach. Owing to adequate dig and extend the information of original data. the method＇s results show that the direction and precision of predicting curve are all improved, compared with traditional grey topological predicting approach, and nonlinear＇s influence which are led by excessive change of original numerical values are overcome.
出处
《自动化与仪器仪表》
2006年第1期7-8,23,共3页
Automation & Instrumentation
关键词
灰色系统
拓扑预测
基函数
GM(1
1)模型
Grey system
Topological predicting
Primary function
GM （ 1,1 ） model
