Education, Science, Technology, Innovation and Life
Open Access
Sign In

Machine Learning Algorithm Study on Refrigerator Parameter Analysis

Download as PDF

DOI: 10.23977/meet.2019.93707


Wenjin Xu, Yuan Feng, Di Zhou

Corresponding Author

Yuan Feng


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.


Machine Learning, K-Means, Support Vector Machine, Information Analysis

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.