本文選題：灰色預(yù)測法 + GM(��； 參考：《情報(bào)雜志》2011年S1期

【摘要】：灰色預(yù)測法在現(xiàn)實(shí)當(dāng)中可以用少量數(shù)據(jù)進(jìn)行建模,既不需要大量數(shù)據(jù)的支持,也不需要數(shù)據(jù)服從典型的概率分布就可以得出滿意的結(jié)論。文中通過建立GM(11,)模型,預(yù)測了某地區(qū)2010-2013年公安機(jī)關(guān)繳獲海洛因的數(shù)量,為公安機(jī)關(guān)預(yù)防和打擊毒品犯罪提供了宏觀上的數(shù)據(jù)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.

【作者單位】： 中國人民武裝警察部隊(duì)學(xué)院基礎(chǔ)部;
【分類號(hào)】：D631.4

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 蘭月新;;邊防情報(bào)分析與預(yù)測的統(tǒng)計(jì)方法研究[J];情報(bào)雜志;2009年S1期

2 李織蘭;;圖書情報(bào)學(xué)研究中運(yùn)用數(shù)學(xué)方法的思考[J];圖書館界;2007年04期

3 侯雅g，

本文編號(hào)：1801655