文章基本信息

标题：Financial performance of firms: a proposal for classification ANN
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作者：Arturo Morales Castro ; Oswaldo García Salgado
期刊名称：Dimensión Empresarial
印刷版ISSN：1692-8563
电子版ISSN：2322-956X
出版年度：2016
卷号：14
期号：2
页码：11-24
DOI：10.15665/rde.v14i2.686
摘要：By using artificial neural networks [ANN] it was proposed to improve the accuracy of classification of companies within the Bolsa Mexicana de Valores [BMV], specifically the commercial sector compared to multiple discriminant analysis techniques [MDA] and logit models. More than fifty neural architectures were developed, and artificial neural network that resulted was the MLP architecture 6: 12: 2 based learning algorithms retrobackpropagation. The results found with the technique [ANN] showed that this technique has a better prognosis assessment and classification obtained by ADM and logit techniques.
关键词：Financial Markets; Financial Performance; logit model; ADM Techniques; Artificial Neural Networks