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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Bibliographic Details
Main Authors:	Vaidas Lukoševičius, Volodymyr Tverdomed, Leonid Tymchenko, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Olena Oliynyk
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Mathematics
Subjects:	transformations parallel–hierarchical networks parallelism signal processing neural networks rail surface defects
Online Access:	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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