灾害学2012，Vol.27Issue(3)：64-68,5.
基于灰关联分析的时间序列改变点搜索研究——以华东地区农业受灾面积序列为例
Change-point Searching of Time Series based on Grey Relational Analysis——Taking Sequences of Agricultural Disaster Area in East China as an Example
摘要
Abstract
An algorithm is constructed with grey relational analysis to detect change-points in short time series, which effectively overcomes shortages of the existing statistical methods. The grey relational algorithm is firstly applied to the change-point searching of time series in meteorological disasters. Sequences of agricultural disaster area in East China are used to show validity and practicability of the algorithm of new grey relational method. The results indicate that the grey relational algorithm can effectively get the change-point. And in this case, the trends and laws of time series characters can be developed.关键词
改变点/时间序列/灰关联分析/农业受灾面积Key words
change point/time series/grey relational analysis/agricultural disaster-stricken area分类
农业科技引用本文复制引用
张云,巩在武..基于灰关联分析的时间序列改变点搜索研究——以华东地区农业受灾面积序列为例[J].灾害学,2012,27(3):64-68,5.基金项目
国家自然科学基金资助项目(70901043,71171115) （70901043,71171115）
教育部人文社科基金(09YJC630130) （09YJC630130）
