Socioeconomic, scientific and technological indicators as parameters for prediction model

2017 
This paper proposes a development's prediction model based on Artificial Neural Network. The methodology proposed consists in: i) countries selection; ii) selection and obtainment of indicators referring to the selected countries; iii) proposal prediction model; iv) Artificial Neural Network training and validation. The results indicated predicted values close to the real values of the Brazilian indicators in 2015, except for the patents application. For future papers to deep the research on the particularities of these technological indicators, besides comparing the proposed model with the regression method and with artificial neural network trained only with data from the country in analysis.
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