摘要
利用灰色ＧＩＭ（１）模型的非时序直接建模法原理，对纺织厂织造车间的环境噪声分别建立了等间隔和不等间隔的非时序预测模型。实测研究表明ＧＩＭ（１）模型优于常规ＧＭ（１，１）模型，且所需建模数据大为减少，预测精度更高（达９９．９９％），从而拓宽了灰色预测的适用范围。
In
this paper,non-time sequence prediction model,including equal and unequal interval,is
established on environmental noise in workshop of textile factory by the use of non-time sequence
direct setting-up theory of grey GIM(1).The result shows that GIM(1) model is much better than the
routine one,and much little data being needed to sep up the model ,much better precision of
prediction(99.99%)being gained so as to enlarge the application field of grey prediction.\=
出处
《干旱环境监测》
北大核心
1999年第2期81-85,共5页
Arid Environmental Monitoring
关键词
GIM(1)模型
纺织厂
噪声
预测
GM(1,1) model
GIM(1) model
Textile factory
Noise prediction.
