Prediction of roughness of planar surfaces processed with toroidal milling through an artificial neural network

Autor:	Vasile Nasui, A R Osan, Mihai Banica
Rok vydání:	2021
Předmět:	Planar Toroid Materials science Quantitative Biology::Neurons and Cognition Artificial neural network Acoustics Surface finish
Zdroj:	IOP Conference Series: Materials Science and Engineering. 1037:012028
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/1037/1/012028
Popis:	This paper is intended to create an artificial neural network capable of generating new values for the roughness on the basis of experimentally obtained data bases. Experimentally you will measure the roughness of the flat surfaces processed with the toroidal milling, the process factors being the input neurons of the neural network, following the roughness values being the output neurons. It aims to modify the input neurons from the same neural network and generate new roughness values.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad224eafbc8c867b8f5b4419c49b815f https://doi.org/10.1088/1757-899x/1037/1/012028 Zobrazit plný text záznamu