加权马尔可夫链在水稻产量预测上的应用

The application of the weighted Markov chain in the prediction of rice yield

基于水稻的产量受多种因素的影响,并且具有较大的随机波动性的特点,提出了运用加权马尔可夫链的方法对水稻产量进行预测,并依据黑龙江省历年水稻产量的数据对该省2012年水稻产量进行了预测,验证了其有效性.

The yield of rice was affected by a variety of factors, and show the random fluctuation characteristics, so the method of weighted markov chain was proposed and used to predict the yield of rice. Predicted the yield of rice in 2012 based on the data of rice yield over the years in Heilongjiang province, the result showed that the method is valid.