A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge

Manufacturing quality prediction is one of the significant concerns in modern enterprise production management, which provides data support for reliability assessment and parameter optimization, thus improving the intelligent management level of enterprises and helping achieve high-quality products...

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Bibliographic Details
Main Author: Bai, Yun (author)
Other Authors: Xie, Jingjing (author), Wang, Dongqiang (author), Zhang, Wanjuan (author), Li, Chuan (author)
Format: article
Language:eng
Published: 2021
Subjects:
Manufacturing quality
Prediction
Rough set
Long short-term memory
AdaBoost ensemble learning
Computer Science; Engineering
Online Access:http://hdl.handle.net/10400.1/16975
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/16975

Internet

http://hdl.handle.net/10400.1/16975

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