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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Hlavní autoři:	Vaidas Lukoševičius, Volodymyr Tverdomed, Leonid Tymchenko, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Olena Oliynyk
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-03-01
Edice:	Mathematics
Témata:	transformations parallel–hierarchical networks parallelism signal processing neural networks rail surface defects
On-line přístup:	https://www.mdpi.com/2227-7390/13/6/966
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