Annealing of Monel 400 Alloy Using Principal Component Analysis, Hyper-parameter Optimization, Machine Learning Techniques, and Multi-objective Particle Swarm Optimization

Annealing of Monel 400 Alloy Using Principal Component Analysis, Hyper-parameter Optimization, Machine Learning Techniques, and Multi-objective Particle Swarm Optimization

Abstract The purpose of this paper is to investigate the effect of the annealing process at 1000 °C on machining parameters using contemporary techniques such as principal component analysis (PCA), hyper-parameter optimization by Optuna, multi-objective particle swarm optimization, and theoretical v...

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Bibliographic Details
Main Authors: Sanjay Chintakindi, Ali Alsamhan, Mustufa Haider Abidi, Maduri Praveen Kumar
Format: Article
Language:English
Published: Springer 2022-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Monel-400
Annealing
Principal component analysis
Optuna
Machine learning
Multi-objective particle swarm optimization
Online Access:https://doi.org/10.1007/s44196-022-00070-z

Internet

https://doi.org/10.1007/s44196-022-00070-z

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