Genetic Algorithm to Solve the Markova Forecast Model of the Structure of Agricultural Production Value in Heilongjiang Province

摘要：

The structure of agricultural production value of forestry, animal husbandry, fishery industries in Heilongjiang province were studied using Markova forecast model, and the improved genetic algorithm was used to solve Markova forecast model to determine the state transition matrix, and the structure of agricultural production value in Heilongjiang province in 2011 and 2012 was forecasted, providing the reference for optimizing industry structure in Heilongjiang province. The results showed that this method had higher forecast accuracy and it was a short-term prediction method.

关键词： genetic algorithm Markova model state transition probability forecast of the structure of agricultural production value

作者: Huixia Zhu Fulin Wang Xiao wen Liu Fan Zhang

作者单位: School of Engineering Northeast Agriculture University Harbin, China

会议类型: 国际会议

会议名称: The 2012 International Conference of Agricultural Engineering and Food Engineering(2012年国际农业工程与食品工程学术会议 ICAE 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 454-457

在线出版日期: 2012-06-16（万方平台首次上网日期，不代表论文的发表时间）