A Thermal Displacement Prediction System with an Automatic LRGTVAC-PSO Optimized Branch Structured Bidirectional GRU Neural Network

Considering technology's rapid development, traditional manufacturing methods are insufficient to achieve the high accuracy demanded by aerospace, national defense, and numerous leading-edge engineering projects. Thermal displacement is a significant source of manufacturing errors, and accurate...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE sensors journal Vol. 23; no. 12; p. 1
Main Authors:	Kuo, Ping-Huan, Chen, Yen-Wen, Hsieh, Tung-Hsien, Jywe, Wen-Yuh, Yau, Her-Terng
Format:	Journal Article
Language:	English
Published:	New York IEEE 15.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Auto Optimization CNC machine tools Data models Errors GRU LSTM Machine learning Machine learning algorithms Machine tools Machining Manufacturing Neural networks Particle swarm optimization Prediction algorithms Production methods PSO Temperature measurement Temperature sensors Thermal displacement
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!