Analysis of <i>G</i>-Transformation Modes for Building Neuro-like Parallel–Hierarchical Network Identification of Rail Surface Defects

This work presents the construction of a transformation for the identification of surface defects on rails, starting with the selection of elements from the matrix and the creation of different matrices. It further elaborates on the recursive formulation of the transformation and demonstrates that,...

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Detaylı Bibliyografya
Asıl Yazarlar:	Vaidas Lukoševičius, Volodymyr Tverdomed, Leonid Tymchenko, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Olena Oliynyk
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-03-01
Seri Bilgileri:	Mathematics
Konular:	transformations parallel–hierarchical networks parallelism signal processing neural networks rail surface defects
Online Erişim:	https://www.mdpi.com/2227-7390/13/6/966
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Analysis of <i>G</i>-Transformation Modes for Building Neuro-like Parallel–Hierarchical Network Identification of Rail Surface Defects

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