辽宁工程技术大学学报（自然科学版）2017，Vol.36Issue(3)：331-336,6.DOI:10.11956/j.issn.1008-0562.2017.03.020
年降雨量因素轮廓的状态转移模型及应用
State transfer model of the annual rainfall factor contour and its application
摘要
Abstract
Aiming at the problem of long-term evolution law of the time series with the seasonal frequency characteristic,this paper adopted the grading method based on contour analysis and clustering analysis,divided the factor contour similarity sequence into spring drought wet year,spring pianku flat water years,winter drought dry years,winter pianku level annual,and summer pianku partial harvest year 6 states,and established the annual rainfall state transfer model based on Markov chain and transition probability matrix theory.The period of each state was estimated by the stationary distribution.The experimental results show that the region in spring pianku flat water years and winter pianku water level of probability is relatively large.关键词
因素轮廓/极化优轮廓/马尔可夫链/转移概率矩阵/平稳分布Key words
factor contour/polarization optimum contour/Markov chain/transition probability matrix/stationary distribution分类
数理科学引用本文复制引用
金圣军,包研科..年降雨量因素轮廓的状态转移模型及应用[J].辽宁工程技术大学学报（自然科学版）,2017,36(3):331-336,6.基金项目
国家自然科学基金项目(61350003,71371091) （61350003,71371091）
