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马尔可夫链在马尾松毛虫发生程度预测中的应用
Application of Markov Chains in the Forecast of Occurrence Degree of Dendrolimus punctatus
【摘要】 根据广东梅州1975~2002年马尾松毛虫发生程度的历史资料,应用马尔可夫链方法对2003~2005年的马尾松毛虫发生程度进行预测,并对1993~2002年的发生程度进行回测,历史符合率为85%。该方法简便易行,为马尾松毛虫发生程度的长期预测提供了一条新途径。
【Abstract】 Based on the database of Dendrolimus punctatus from 1975 to 2002 in Meizhou of Guangdong Province,the occurrence degree of Dendrolimus punctatus in 2003~2005 was forecasted by means of Markov chain.The simulation forecast accuracy of 1993~2002 was 85 %.The method was easy and reliable,which provided a new forecasting way of the occurrence degree of Dendrolimus punctatus in long term.
【关键词】 马尾松毛虫;
发生程度;
马尔夫链;
预测;
【Key words】 Dendrolimus punctatus; Occurrence degree; Markov chains transition matrix; Forecast;
【Key words】 Dendrolimus punctatus; Occurrence degree; Markov chains transition matrix; Forecast;
- 【文献出处】 安徽农业科学 ,Journal of Anhui Agricultural Sciences , 编辑部邮箱 ,2006年04期
- 【分类号】S763.7
- 【被引频次】3
- 【下载频次】67