摘要
牛奶中所含体细胞的类别与数量是诊断与治疗奶牛乳腺炎的重要依据。针对牛乳体细胞分类识别问题,本文针对牛乳体细胞构建四个单一分类器分别是K近邻分类器、支持向量机分类器、BP神经网络分类器和随机森林分类器对牛乳体细胞进行分类识别。牛乳体细胞与其他人体血液细胞存在不同,目前针对牛乳体细胞方面的研究较少,因此本文针对牛乳体细胞进行分类研究,实现单一分类器对牛乳体细胞的高精度分类。
The type and quantity of somatic cells in milk is an important basis for diagnosis and treatment of cow mastitis.To solve the classification and recognition problem of milk somatic cells,four single classifiers were constructed for milk somatic cells in this paper,which were K-nearest neighbor classifier,support vector machine classifier,BP neural network classifier and random forest classifier.There are differences between cow's milk somatic cells and other human blood cells,At present,there are few studies on cow's milk somatic cells,therefore,this paper studies the classification of cow's milk somatic cells to achieve the high-precision classification of cow's milk somatic cells with a single classifier.
作者
杨伟杰
薛河儒
白洁
YANG Wei-jie;XUE He-ru;BAI Jie(College of Computer and Information Engineering,Inner Mongolia Agricultural University,Hohhot Inner Mongolia 010018)
出处
《数字技术与应用》
2021年第7期114-116,共3页
Digital Technology & Application
基金
国家自然科学基金项目(61461041)
内蒙古农业大学基础学科科研启动项目JC2018001
内蒙古自治区高等学校科学研究项目(NJZY21486)。
关键词
牛乳体细胞
K近邻分类器
支持向量机分类器
BP神经网络分类器
随机森林分类器
Bovine milk somatic cell
Knearest neighbor classifier
Support vector machine classifier
BP neural network classifier
Random forest classifier