Application of neural network models in macroeconomic scenarios building and analysis / Aplicação de modelos de redes neurais na elaboração e análise de cenários macroeconômicos

AUTOR(ES)

Maurílio Benite

DATA DE PUBLICAÇÃO

2003

RESUMO

This study turns on an inquiry of viability of the use of self-organizing neural nets in classification and exploration of macroeconomic data. For this purpose, a method in which had been used self-organized neural topologies was elaborated, looking to explore the better characteristics of performance of each one of the models, under a sequential approach and with objective of acquiring intermediate knowledge in each one of its phases, diminishing the impact of the complexity as in time consuming as in analysis of results. Main results obtained suggest the use of self-organized artificial neural nets in acquisition of knowledge on Economic databases presents analog performance to traditional parametric models in scenarios building.

ASSUNTO(S)

dados macroeconômicos redes neurais auto organizadas self-organizing neural networks macroeconomic data cenários e complexidade scenarios and complexity

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