摘要
本文应用灰色理论建模原理,探讨了非等间距GM(1,1)模型的建模步骤;通过几种不同参数下的建模方式,利用MATLAB编程进行计算比较,着重分析影响非等间距GM(1,1)模型预报精度的因素,并探讨模型的改进方法。结果表明,对于较均匀的非等间距数据,灰色模型具有较高的预报精度。在间距间隔变化较大的情况下,灰色模型进行改进后也能得到比较满意的预报结果。
On the basis of Gray theoretical modeling principles, the paper discussed the modehng steps oi non-equal interval GM （1, 1 ）. Through several modeling methods with different parameters, the calculation and comparison were conducted using MATLAB programming. It focused on analyzing the impact factors on the accuracy of non-equal GM （ 1, 1 ） model forecast, and explored ways to improve the model. The results showed that, for relatively uniform unequally spaced data, the gray model has higher forecast precision. In the case of larger spacing interval changes, improved gray model could also get satisfactory forecast results.
出处
《测绘科学》
CSCD
北大核心
2013年第3期110-111,86,共3页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41071294
41064001)
广西科学基金资助项目(桂科基0991023
0728097)
关键词
非等间距
灰色模型
新陈代谢
预报
non-equal interval
gray model
metabolism
forecast
