Neural Model for Prediction of Tires Eigenfrequencies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F13%3A86088993" target="_blank" >RIV/61989100:27360/13:86088993 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Model for Prediction of Tires Eigenfrequencies

Original language description

The work is devoted to the application of an artificial neural network (ANN) to analyze eigenfrequencies of personal tires of different construction. Ex-perimental measurements of personal tire eigenfrequencies by electronic speckle interferometry (ESPI)are compared with those previewed by ANN. Very good agreement of both data sets is presented.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JJ - Other materials

OECD FORD branch

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Project

<a href="/en/project/FR-TI3%2F818" target="_blank" >FR-TI3/818: *EXTERNAL FIXATION</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Advanced Structured Materials. Volume 32

ISSN

1869-8433

e-ISSN

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Volume of the periodical

41

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

11

Pages from-to

1-11

UT code for WoS article

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EID of the result in the Scopus database

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