The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining

The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining

The article presents an original machine-learning-based automated approach for controlling the process of machining of low-rigidity shafts using artificial intelligence methods. Three models of hybrid controllers based on different types of neural networks and genetic algorithms were developed. In t...

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Bibliographic Details
Main Authors: Antoni Świć, Dariusz Wołos, Arkadiusz Gola, Grzegorz Kłosowski
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
process control
machine learning
neural networks
genetic algorithms
turning
low rigidity
Online Access:https://www.mdpi.com/1424-8220/20/17/4683

Internet

https://www.mdpi.com/1424-8220/20/17/4683

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