Machine Learning Methods as a Tool for Analysis and Prediction of Impact Resistance of Rubber–Textile Conveyor Belts

Machine Learning Methods as a Tool for Analysis and Prediction of Impact Resistance of Rubber–Textile Conveyor Belts

Rubber–textile conveyor belts are an important element of large-scale transport systems, which in many cases are subjected to excessive dynamic loads. Assessing the impact resistance of them is essential for ensuring their reliability and longevity. The article focuses on the use of machine learning...

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Bibliographic Details
Main Authors: Miriam Andrejiova, Anna Grincova, Daniela Marasova, Zuzana Kimakova
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
rubber–textile conveyor belt
impact force
regression model
decision tree regression model
random forest model
ANN model
Online Access:https://www.mdpi.com/2076-3417/15/15/8511
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