Machine Learning Algorithm Study on Refrigerator Parameter Analysis

摘要：

　　In this paper,we systematically study the two kinds of data mining algorithm and software simulation process in refrigerator data analysis.This paper mainly introduces the related content of machine learning and data mining algorithm,including the concept,background of machine learning,model and the relevant methods.Then we implement two kinds of data mining algorithms: K-means algorithm and support vector machine(SVM)algorithm in refrigerator parameter analysis.Finally,we discuss the result of real-time data mining algorithm,using simulation software to realize the analysis of the data instance.

关键词： Machine Learning K-means Support Vector Machine Information Analysis

作者: Wenjin Xu Yuan Feng Di Zhou

作者单位: Ocean University of China,Qingdao,Shandong,266101,China;Qingdao University of Science&Technology,Qin Ocean University of China,Qingdao,Shandong,266101,China The 91049 Army of the PLA

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical, Electronic and Engineering Technology (MEET 2019) 2019年第二届机电与工程技术国际会议

会议地点: 西安

会议语种:英文

页码: 40-47

在线出版日期: 2019-01-19（万方平台首次上网日期，不代表论文的发表时间）