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| Tekijä: | Venkatachalam, A. Sohl, J. |
| Otsikko: | A neural network approach to forecasting model selection |
| Lehti: | Information & Management
1995 : DEC, VOL. 29:6, p. 297-303 |
| Asiasana: | NEURAL NETWORKS FORECASTING RESEARCH |
| Kieli: | eng |
| Tiivistelmä: | The literature has shown that no one model provides the most accurate forecasts. The focus has instead shifted to identifying the characteristics of the time series in order to provide guidelines for choosing the most appropriate extrapolation model. In this paper the authors test the feasibility of employing the neural network structure for model selection. To accomplish this objective, a set of time series characteristics, representing the domain knowledge, is established. A back propagation neural network is then constructed with eleven input nodes representing six time series characteristics. |
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