An Optimization Method for Laser Cutting Process Parameters Based on GPR and Seq2Seq
Author:
Affiliation:
1. Institute of intelligent manufacturing Jianghan University,Wuhan,Hubei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451672.pdf?arnumber=10451672
Reference8 articles.
1. Artificial intelligence to predict kerf width during CO2 laser cutting of mild steel
2. Multi-Objective Optimization of Fiber Laser Cutting of Stainless-Steel Plates Using Taguchi-Based Grey Relational Analysis
3. Multi-response Optimization of Laser Cutting Parameters Using Grey Relational Analysis
4. A review on applications of artificial intelligence in modeling and optimization of laser beam machining
5. Experimental validation of a machine learning algorithm for roughness quantification in laser cutting
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