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一种新的三角形识别方法

发表时间:2019-08-30  浏览量:257  下载量:35
全部作者: 马世林,牛英杰,刘海涛,刘杰
作者单位: 辽宁工程技术大学理学院
摘 要: 为解决三角形识别准确率低的问题,本文基于简单模糊模式和其改进简单模糊模式识别方法的缺点,用三角形的边长关系构造了一种新的三角形识别方法,定义了五种类型的隶属函数,最后根据最大隶属度原则,对三角形进行识别。实验结果表明,新方法能准确对三角形进行识别,确定其具体属于哪一类别,识别准确率高,并克服了其他识别方法的缺点,具有很好的应用前景。
关 键 词: 模糊数学;模糊模式识别;三角形边长;隶属函数;最大隶属度原则
Title: A new triangle recognition method
Author: MA Shilin, NIU Yingjie, LIU Haitao, LIU Jie
Organization: School of Sciences, Liaoning Technical University
Abstract: In order to solve the problem of low accuracy of triangle recognition, a new triangle recognition method is constructed by using the side length relationship of triangles, which is based on the shortcomings of the simple fuzzy mode and the improved simple fuzzy pattern recognition method in this paper. Five types of membership functions are defined and triangles are finally recognized according to the principle of the maximum membership degree. The experimental results show that the new method can accurately identify the triangle and determine which category it belongs to. The recognition accuracy is high, and the new method can overcome the shortcomings of other recognition methods, which has good application prospects.
Key words: fuzzy mathematics; fuzzy pattern recognition; side length of triangle; membership function; principle of the maximum membership degree
发表期数: 2019年8月第4期
引用格式: 马世林,牛英杰,刘海涛,等. 一种新的三角形识别方法[J]. 中国科技论文在线精品论文,2019,12(4):545-551.
 
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