Influence of different data processing methods on error prediction of three-axis NC machine tool based on LSTM Neural Network
Author:
Affiliation:
1. School of Mechanical Engineering and Automation, Harbin Institute of Technology Shenzhen,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902726.pdf?arnumber=9902726
Reference8 articles.
1. Adaptive feedrate planning for continuous parametric tool path with confined contour error and axis jerks
2. Feed speed scheduling method for parts with rapidly varied geometric feature based on drive constraint of NC machine tool
3. Pre-compensation for continuous-path running trajectory error in high-speed machining of parts with varied curvature features
4. Solution of inverse dynamics problems for contour error minimization in CNC machines
5. Long Short-Term Memory
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