Modeling the field of laser welding melt pool by RBFNN

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Efficient 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.
5 pages, 6 eps figures, uses IEEEtran.cls

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Computational Physics, Data Analysis, Statistics and Probability

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http://salesiana.dossiersoluciones.com/handle/123456789/126655

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0704.0611
 http://arxiv.org/abs/0704.0611

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arXiv