2012
DOI: 10.1590/s1678-69712012000100004
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Redes neurais artificiais na previsão da inflação: aplicação como ferramenta de apoio à análise de decisões financeiras em organizações de pequeno porte

Abstract: Este artigo pode ser copiado, distribuído, exibido, transmitido ou adaptado desde que citados, de forma clara e explícita, o nome da revista, a edição, o ano e as páginas nas quais o artigo foi publicado originalmente, mas sem sugerir que a RAM endosse a reutilização do artigo. Esse termo de licenciamento deve ser explicitado para os casos de reutilização ou distribuição para terceiros. Não é permitido o uso para fins comerciais. • RAM, REV. ADM. MACKENZIE, V. 13, N. 1 • SÃO PAULO, SP • JAN./FEV. 2012 • ISSN 1… Show more

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Cited by 2 publications
(2 citation statements)
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“…Based on Table 2, the increase in the number of hidden layers and neurons did not affect the accuracy because the best values were obtained with the networks 2, 3, 5 and 6, whose architectures have one or two layers maximum of twenty-one neuron. These results do not agree with the suggestions of TERRA & PASSADOR (2012), about the number of neurons in layers, because none of their proposed criteria was adequate for the data of this study. However, they confirm the recommendations of BINOTI et al (2013, 2014a, b) and GEORGENS et al (2014.…”
Section: Resultscontrasting
confidence: 99%
“…Based on Table 2, the increase in the number of hidden layers and neurons did not affect the accuracy because the best values were obtained with the networks 2, 3, 5 and 6, whose architectures have one or two layers maximum of twenty-one neuron. These results do not agree with the suggestions of TERRA & PASSADOR (2012), about the number of neurons in layers, because none of their proposed criteria was adequate for the data of this study. However, they confirm the recommendations of BINOTI et al (2013, 2014a, b) and GEORGENS et al (2014.…”
Section: Resultscontrasting
confidence: 99%
“…Valores de los índices evaluados para cada arquitectura de rede neuronal artificial (Values of the evaluated indexes for each artificial neural network architecture). Estos resultados no concuerdan con las sugestiones de Terra & Passador (2012), respecto al número de neuronas en las camadas, pues ninguno de los criterios propuestos se adecuó a los dados del presente estudio. No obstante, se confirmaron las recomendaciones de Georgens et al (2014).…”
Section: Mediaunclassified