Intelligent manufacturing system based on data mining algorithm

被引：0
|
作者：
Liu, Xiaoya [1 ]
Zhou, Qiongjie [2 ]
机构：
[1] Xinyang Vocat & Tech Coll, Sch Business, Xinyang 464000, Henan, Peoples R China
[2] Wuhan Donghu Univ, Sch Management, Wuhan 430212, Hubei, Peoples R China
来源：
INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING | 2021年 / 12卷 / 04期
关键词：
data mining algorithm; intelligent manufacturing system; evaluation model; error analysis;
D O I：
10.1504/IJGUC.2021.119554
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article focuses on the evaluation model of intelligent manufacturing system based on data mining algorithm. Combining data mining algorithm with intelligent manufacturing system, the evaluation model of intelligent manufacturing system is established successfully. According to the characteristics of intelligent manufacturing system, the data is divided into training set, cross-validation set and test set, and then the training set is used to perform neural network training, adjustment and optimisation and verification set. The experiment found that the accuracy rate of the training group was higher than that of the test group, the highest accuracy rate of the training group was 69%, and the highest accuracy rate of the test group was 32.5%. The results show that using data mining algorithms for recognition can effectively cluster control chart patterns and improve recognition efficiency.
引用
收藏
页码：396 / 405
页数：10
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