Modeling the field of laser welding melt pool by RBFNN

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dc.creatorBracic, A. Borstnik
dc.creatorGovekar, E.
dc.creatorGrabec, I.
dc.date2007-04-04
dc.date.accessioned2026-07-07T07:54:33Z
dc.date.available2026-07-07T07:54:33Z
dc.descriptionEfficient control of a laser welding process requires the reliable prediction of process behavior. A statistical method of field modeling, based on normalized RBFNN, can be successfully used to predict the spatiotemporal dynamics of surface optical activity in the laser welding process. In this article we demonstrate how to optimize RBFNN to maximize prediction quality. Special attention is paid to the structure of sample vectors, which represent the bridge between the field distributions in the past and future.
dc.description5 pages, 6 eps figures, uses IEEEtran.cls
dc.identifierhttps://arxiv.org/abs/0704.0611
dc.identifierhttp://arxiv.org/abs/0704.0611
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/126655
dc.subjectComputational Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleModeling the field of laser welding melt pool by RBFNN
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