The forecasting capabilities of feed-forward neural network (FFNN) models are compared to those of other competing time series models by carrying out forecasting experiments. As demonstrated by the detailed forecasting results for the Canadian lynx data set, FFNN models perform very well, especially
Nonparametric and non-linear models and data mining in time series: a case-study on the Canadian lynx data
β Scribed by T. C. Lin; M. Pourahmadi
- Book ID
- 108547779
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 482 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0035-9254
No coin nor oath required. For personal study only.
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