Artificial Neural Network Prediction of the Optimal Setup Parameters of a Seven Degrees of Freedom Mathematical Model of a Race Car: IndyCar Case Study

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datacite.relatedItem.firstPage300
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2624-8921
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleVehicles
datacite.relatedItem.volume3
dc.contributor.authorDanilo D’Andrea
dc.contributor.authorGiacomo Risitano
dc.contributor.authorErnesto Desiderio
dc.contributor.authorAndrea Quintarelli
dc.contributor.authorDario Milone
dc.contributor.authorFabio Alberti
dc.date.accessioned2025-05-21T03:29:14Z
dc.date.available2025-05-21T03:29:14Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/vehicles3020019
dc.identifier.otherjz000163-0019
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33620
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleArtificial Neural Network Prediction of the Optimal Setup Parameters of a Seven Degrees of Freedom Mathematical Model of a Race Car: IndyCar Case Study
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33621
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