Artificial Neural Network-Based Optimization of CO2 Laser Cutting Parameters for Beech Plywood and HDF: A Kerf Geometry Perspective

This study presents the results of Artificial Neural Networks (ANN) predictions with the aim of optimizing the process of beech plywood and HDF laser cutting. A survey is given of the results of predictions of cutting kerf parameters made by Artificial Neural Networks to cover a wide spread of CO2 l...

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Auteurs principaux:	Ivan Ružiak, Oguzhan Der, Ivan Kubovský, Imants Adijans, Martin Kučerka, Jana Richvalská, Milada Gajtanska, Eugenia Mariana Tudor, Luigi Todaro, Lukáš Štefančin
Format:	Artigo
Langue:	Inglês
Publié:	University of Zagreb, Faculty of Forestry and Wood Technology 2026-01-01
Collection:	Drvna Industrija
Sujets:	artificial neural networks laser cutting cutting kerf wood composite materials optimization
Accès en ligne:	https://hrcak.srce.hr/file/499162
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