The forecast research on Heilongjiang province soybean yield based on gray-Markov method

被引：0
|
作者：
Bai, Jiyun [1 ]
Meng, Jun [1 ]
Zhang, Zhanguo [1 ]
机构：
[1] NE Agr Univ, Key Lab Soybean Sci, Educ Minist, Harbin 150030, Peoples R China
来源：
PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE | 2007年
关键词：
gray system; Markov chain; soybean yield;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The forecast result of general model can not reflect the random fluctuations of the things, which can only express the whole trend of the data. In order to solve this problem, the paper utilized the gray theory to establish the secular trend model of soybean yield in Heilongjiang Province, and improved the model result by Markov. The improved result reflected both the secular trend of the soybean yield, and the fluctuation that it should appear. The method can be used in the forecast of the general fluctuation of the increasing sequence.
引用
收藏
页码：202 / 204
页数：3
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