THE FORECAST RESEARCH ON HEILONGJIANG PROVINCE SOYBEAN YIELD BASED ON GRAY-MARKOV METHOD

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.