FORECASTING TIME SERIES WITH NEURAL NETWORKS: AN APPLICATION TO THE COLOMBIAN INFLATION PREDICCIÓN DE SERIES TEMPORALES CON REDES NEURONALES: UNA APLICACIÓN A LA INFLACIÓN COLOMBIANA
Evaluating the usefulness of neural network methods in predicting the Colombian Inflation is the main goal of this paper. The results show that neural networks forecasts can be considerably more accurate than forecasts obtained using exponential smoothing and SARIMA methods. Experimental results als...
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| Format: | Article |
| Language: | English |
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Universidad Nacional de Colombia
2006-05-01
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| Series: | Revista Colombiana de Estadística |
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| Online Access: | http://www.revistas.unal.edu.co/index.php/estad/article/view/29171 |