Author:
Koštial P.,Jančíková Z.,Bakošová D.,Valíček J.,Harničárová M.,Špička I.
Abstract
Abstract
The paper deals with the application of artificial neural networks (ANN) to tires’ own frequency (OF) prediction depending on a tire construction. Experimental data of OF were obtained by electronic speckle pattern interferometry (ESPI). A very good conformity of both experimental and predicted data sets is presented here. The presented ANN method applied to ESPI experimental data can effectively help designers to optimize dimensions of tires from the point of view of their noise.
Subject
Instrumentation,Biomedical Engineering,Control and Systems Engineering
Cited by
7 articles.
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