灰色预测在边防毒品情报分析中的应用

发布时间：2018-04-25 14:12

本文选题：灰色预测法 + GM(　；参考：《情报杂志》2011年S1期

【摘要】：灰色预测法在现实当中可以用少量数据进行建模,既不需要大量数据的支持,也不需要数据服从典型的概率分布就可以得出满意的结论。文中通过建立GM(11,)模型,预测了某地区2010-2013年公安机关缴获海洛因的数量,为公安机关预防和打击毒品犯罪提供了宏观上的数据支持。
[Abstract]:In the reality, the grey prediction method can be modeled with a small amount of data, which does not require a large number of data and does not require data to comply with the typical probability distribution. The GM (11) model has been established to predict the number of heroin seized by the public security organs for 2010-2013 years in a certain area for the prevention of the public security organs and to the public security organs. The fight against drug crimes provides macro data support.

【作者单位】：中国人民武装警察部队学院基础部;
【分类号】：D631.4

【参考文献】