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Socioeconomic, scientific and technological indicators as parameters for prediction model

机译:社会经济,科学和技术指标作为预测模型的参数

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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.
机译:本文提出了一种基于人工神经网络的发展预测模型。拟议的方法包括:i)国家选择; ii)选择和获取指标指出所选国家的指标; iii)提案预测模型; iv)人工神经网络培训和验证。结果表明,除了专利申请外,预计值得靠近2015年巴西指标的实际价值。对于未来的文件来深入研究这些技术指标的特殊性,除了将提出的模型与回归方法和人工神经网络进行比较,仅培训了来自国家分析中的国家的数据。

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