Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework

Author:

Zeng Shuang,Ma ChiORCID,Liu Jialan,Li Mengyuan,Gui Hongquan

Publisher

Elsevier BV

Subject

Software

Reference26 articles.

1. Thermal error optimization modeling and real-time compensation on a CNC turning center;Wu;J. Mater. Process Tech.,2008

2. A machining test to evaluate thermal influence on the kinematics of a five-axis machine tool;Ibaraki;Int. J. Mach. Tool Manu.,2021

3. Transfer learning-based thermal error prediction and control with deep residual LSTM network;Liu;Knowl-Based. Syst.,2022

4. Dynamic neural network modeling for nonlinear, nonstationary machine tool thermally induced error;Yang;Int. J. Mach. Tool Manu.,2005

5. A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools;Zhang;J. Intell. Manuf.,2019

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