三角形识别方法的分析与改进研究
首发时间:2019-04-15
摘要:为了解决计算机在识别近似典型三角形时不能按照人类思维方式把他们归类的问题,本文将三角形分为了等腰三角形、正三角形、直角三角形、等腰直角三角形以及非典型三角形5类,构造隶属函数,采用最大隶属度原则,判断任意一个三角形属于某种三角形的程度,以便更好地应用于医疗、测绘、人工智能等方面。结果表明:该研究对传统三角形模糊模式识别造成的数据丢失进行了改正,使得对三角形的识别更加精确。
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Analysis and improvement of triangle recognition method
Abstract:In order to solve the computer when identifying approximate triangle can't according to the problem of human thinking way to categorize them, this article is divided into the isosceles triangle, triangle, triangle right triangle, an isosceles right triangle and atypical triangle 5 class, construct membership functions, the maximum membership degree principle, determine an arbitrary triangle belongs to a certain extent, in order to better application in the medical, surveying and mapping, artificial intelligence, etc.The results show that this study corrects the data loss caused by the traditional triangle fuzzy pattern recognition and makes the triangle recognition more accurate.
Keywords: triangle fuzzy pattern recognition maximum membership principle Neway
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