Financial performance of firms: a proposal for classification ANN
DOI:
https://doi.org/10.15665/rde.v14i2.686Keywords:
Financial Markets, Financial Performance, logit model, ADM Techniques, Artificial Neural NetworksAbstract
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.
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