Application of Artificial Neural Networks in Predicting Surface Quality and Machining Time
This paper explores the use of artificial neural networks to optimize metal machining processes. It has two main components. The first component focuses on developing a neural network in EasyNN to predict quality errors of metal surfaces machined with toroidal milling. The input data are extracted f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/7/561 |
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