Analysis of neural network training algorithms for implementation of the prescriptive maintenance strategy / Lempa Paweł, Filo Grzegorz // W: Terotechnology XII : 12th Conference on Terotechnology, 20-21 ... więcej

Analysis of neural network training algorithms for implementation of the prescriptive maintenance strategy / Lempa Paweł, Filo Grzegorz // W: Terotechnology XII : 12th Conference on Terotechnology, 20-21 October 2021, Kielce, Poland [Dokument elektroniczny] / ed. by Norbert Radek. – Millersville, PA : Materials Research Forum LLC, 2022. – (Materials Research Proceedings, ISSN 2474-395X ; 24). – S. 281-287 : rys. – Tryb dostępu: https://www.mrforum.com/wp-content/uploads/open_access/9781644902059/41.pdf. – Bibliogr. 37 poz., Abstr. – doi: 10.21741/9781644902059-41. – ISBN 978-1-64490-204-2 (print). – ISBN 978-1-64490-205-9 (ePDF)

This paper presents a proposal to combine supervised and semi-supervised training strategies to obtain a neural network for use in the prescriptive maintenance approach. It is required in this approach ... więcej

This paper presents a proposal to combine supervised and semi-supervised training strategies to obtain a neural network for use in the prescriptive maintenance approach. It is required in this approach because of only partially labelled data for use in supervised learning, and additionally, this data is predicted to expand quickly. The main issue is the decision on which are suitable training methodologies for supervised learning, having in mind using this data and methods for semi-supervised learning. The proposed methods of training neural networks with supervised and semi-supervised training to receive the best results will be tested and compared in further work.