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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Detalles Bibliográficos
Autores principales: Gao, Ying, Xia, Xiaojun, Guo, Yinrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099351/
https://www.ncbi.nlm.nih.gov/pubmed/37050660
http://dx.doi.org/10.3390/s23073600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099351/
https://www.ncbi.nlm.nih.gov/pubmed/37050660
http://dx.doi.org/10.3390/s23073600

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