Neuro-Fuzzy Modelling of the Metallic Surface Characterization on Linear Dry Contact between Plastic Material Reinforced with SGF and Alloyed Steel

This paper presents the modelling of wear data resulting from linear dry contact using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) with the aim of constructing predictor models for the depth and volume of the wear scar, with great impact in the characterizatio...

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Detalles Bibliográficos
Autores principales: Vlădăreanu, Victor, Căpitanu, Lucian, Vlădăreanu, Luige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073458/
https://www.ncbi.nlm.nih.gov/pubmed/29996527
http://dx.doi.org/10.3390/ma11071181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073458/
https://www.ncbi.nlm.nih.gov/pubmed/29996527
http://dx.doi.org/10.3390/ma11071181

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