摘要
采用可拓评判方法,应用物元概念和关联函数,确定了玉米螟种群动态分级识别的的经典域物元和节域物元,提出了一种新的基于可拓分析的信息模式识别方法,并探讨了其应用.应用结果表明,历史拟合率达100%,1995、1996两年预报,其结果与实际一致.说明该识别方法具有良好的应用前景,一种全新的模式识别分类器.
By using the extension evaluation method,the concept of matter-element and the dependent function, the classical matter-element and extensional matter-element for population dynamics of the Corn Borer （CB）are determined. A new method of information pattrern recognition hased on extension analysis is proposed. The results tested the pest data show that the fitting rate come up to 100%, and the results of forecasting for 1995 and 1996 conform to reality very well. We conclude that the method of pattern recognition represented here has vast prospect in practice, and It is a completely new pattern recognition method.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第2期193-197,共5页
Mathematics in Practice and Theory
基金
山东省作物生物学重点实验室资助项目(20040010)
山东农业大学博士科研基金资助项目(Z3241)
关键词
可拓分析
信息模式识别
经典域
节域
extension analysis
information pattern recognition
classical matter-element
extensional matter-element
