河南农业大学学报2013，Vol.47Issue(3)：368-372,5.
河南省渔业增加值的加权Markov残差修正预测研究
Weighted Markov residual improved research on the added value of fisheries in Henan Province
摘要
Abstract
Grey precision index is introduced in this paper to propose the grey residual modification model based on the weighted Markov theory and the state transition matrix of Markov is adopted to forecast the sign of future residual.The weighted Markov improved model is formed based on the added value of fisheries from 1994 to 2011 in Henan with adding the dimension information in the model.The test results show that the average relative error of prediction is reduced from 8.33％ to 2.54％ and the prediction accuracy is improved obviously.关键词
加权马尔可夫链/残差修正/渔业增加值/预测精度Key words
weighted Markov theory / residual correction / added value of fisheries / forecasting accuracy分类
管理科学引用本文复制引用
张建军,王建平,孙成金,杨丽敏..河南省渔业增加值的加权Markov残差修正预测研究[J].河南农业大学学报,2013,47(3):368-372,5.基金项目
河南省高等学校人文社科研究项目(2012-QN-219) （2012-QN-219）
河南省教育厅科学技术研究重点项目(136110057) （136110057）
