A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network

A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network

To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly, the Fuzzy C-means clustering algorithm (FCMC...

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Bibliographic Details
Main Authors: Ying Gao, Xiaojun Xia, Yinrui Guo
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
thermal error prediction
temperature-sensitive points screening
FCMCA
SSA-LSTMNN
CNCME
Online Access:https://www.mdpi.com/1424-8220/23/7/3600

Internet

https://www.mdpi.com/1424-8220/23/7/3600

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