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| 基于可拓分析的信息模式识别方法 | |
| 引用本文： | 于孝廷,王启田,王孝莹,丁世飞.基于可拓分析的信息模式识别方法[J].数学的实践与认识,2006,36(2):193-197. |
| 作者姓名： | 于孝廷 王启田 王孝莹 丁世飞 |
| 作者单位： | 1. 淄博职业学院基础部,山东,淄博,255013 2. 山东水利职业学院教务处,山东,日照,276826 3. 山东农业大学信息科学与工程学院,山东,泰安,271018 |
| 基金项目： | 山东省重点实验室基金;山东农业大学校科研和教改项目 |
| 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. |
| 关 键 词： | 可拓分析 信息模式识别 经典域 节域 |
| 修稿时间： | 2004年8月27日 |
Information Pattern Recognition Method Based on Extension Analysis |
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| YU Xiao-ting,WANG Qi-tian,WANG Xiao-ying,DING Shi-fei.Information Pattern Recognition Method Based on Extension Analysis[J].Mathematics in Practice and Theory,2006,36(2):193-197. | |
| Authors: | YU Xiao-ting WANG Qi-tian WANG Xiao-ying DING Shi-fei |
| Abstract: | 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 based 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. |
| Keywords: | extension analysis information pattern recognition classical matter-element extensional matter-element |
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