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MARKOV
MARKOv的应用
Step 1,求出各食品数据的增长率;
Step 2,编程,使快速上升(>=0.03) ,在程序中用“2”表示;缓慢上升 (0,0.03),在程序中用“1”表示;相对不变 0,在程序中用“0”表示;缓慢下降(-0.03,0) ,在程序中用“-1”表示;快速下降 (<=-0.03),在程序中用“-2”表示;得到各类食品在不同时期的 ;
Step 3,统计相邻增长率变化的一致的次数 ,就菜籽油而言,在2010-3-5到2011-3-15,其增长率为先快速增长后相对不变出现的次数为‘20’=1;具体42中食品的输出情况见附录;
Step 4,对每一种食品,分五类进行叠加求和,分别为“先快速增长”、“先缓慢增长”、“先相对不变”、“先缓慢下降”、“先快速下降”;得到 ;
Step 5,求出一步转移概率矩阵E ;即 每行的每五个数据依次与对应的 相除,得到概率矩阵E 的一行;
Step 6,使用求出的一步转移概率矩阵E ,并求出不同时期的状态概率(MARKOv application Step 1, to obtain the growth rate of each food data Step 2, the programming, so fast rise (> = 0.03), in the program with " 2" slowly rising (0,0.03), used in the program " 1" indicates relatively constant 0, by the program " 0" indicates slow decline (-0.03,0), in the program by " -1" rapid decline (< =- 0.03), in the program with " -2" means get all kinds of food at different times Step 3, the same number of adjacent growth statistics change on rapeseed oil, in 2010-3-5 to 2011-3-15, Its growth rate is relatively rapid growth of the number of times after the first change occurs is ' 20' = 1 42 Output of specific food in Appendix Step 4, for each kind of food, five points are superimposed sum, respectively, " First of rapid growth," " first slow growth" , " first relatively unchanged" , " first slow down" , " first rapid decline" get Step 5, to obtain a step)
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