Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/5539
Title: Efficiency parameters estimation in gemstones cut design using artificial neural networks.
Authors: Mol, Adriano Aguiar
Martins Filho, Luiz de Siqueira
Silva, José Demisio Simões da
Rocha, Ronilson
Keywords: Faceted gemstones
Lapidary design
Design efficiency
Artificial neural networks
Issue Date: 2007
Citation: MOL, A. A. et al. Efficiency parameters estimation in gemstones cut design using artificial neural networks. Computational Materials Science, v. 38, p. 727-736, 2007. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0927025606001625>. Acesso em: 09 abr. 2015.
Abstract: This paper deals with the problem of estimating cut results for faceted gemstones. The proposed approach applies artificial neural networks for a faceted gemstones analysis tool that could be further developed for incorporation in a computer-aided-design (CAD) context. Basic concepts concerning gemstone processing are introduced and the design of computational tools using neural networks is discussed. The model presented proposes two criteria to assess the efficiency of lapidary designs for rock crystal quartz: brilliance and yield. Closing the article, 62 different lapidary models were used to train and test the neural network tool.
URI: http://www.repositorio.ufop.br/handle/123456789/5539
metadata.dc.identifier.doi: https://doi.org/10.1016/j.commatsci.2006.05.012
ISSN: 0927-0256
metadata.dc.rights.license: O periódico Computational Materials Science concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3621890506404.
Appears in Collections:DECAT - Artigos publicados em periódicos

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