Sandstorm Occurrence Frequency Short-Term Prediction Based on Bootstrap Method

被引：0

作者：

Dong, Jianli ^{[1
]}

Chen, Haiyang ^{[2
]}

Wang, Jianzhou ^{[2
]}

Sun, Donghuai ^{[3
]}

机构：

[1] HuaiHai Inst Technol, Sch Comp Engn, Lianyungang 222005, Peoples R China

[2] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China

[3] Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China

来源：

ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2008年 / 5370卷

关键词：

Sandstorm; Short-term Prediction; Occurrence Frequendy; Bootstrap;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sandstorm is it disastrous weather phenomenon, Gansu Province is ill the high incidence region of sandstorm. So the sandstorm is one of the major casualty weather in recent years in Gansu, causing lots of losses. it is undoubtedly favor of reducing loss to predict annual occurrence frequency of sandstorm. This paper based on achievements on sandstorm, choosed Dingxin, Jinta, Jiuquan, Zhangye, Minqin, five areas, where the sandstorm disasters is very serious, selected the latest 8 years' data by analysis the data of 1971-2007 its the original data, predict annual sandstorm occurrence frequency of recent years based oil bootstrap method.

引用

页码：571 / +

页数：3

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