Time Series Forecasting with Neural Networks: a Case Study

@inproceedings{CHATFIELD1995TimeSF,
  title={Time Series Forecasting with Neural Networks: a Case Study},
  author={USAand CHRIS CHATFIELD},
  year={1995}
}
  • USAand CHRIS CHATFIELD
  • Published 1995
SUMMARY Using the famous airline data as the main example, a variety of neural network (NN) models are tted and the resulting forecasts are compared with those obtained from the (Box-Jenkins) seasonal ARIMA model called the airline model. The results suggest that there is plenty of scope for going badly wrong with NN models and that it is unwise to apply them blindly in`black-box' mode. Rather the wise analyst needs to use traditional modelling skills to select a good NN model, for example in… CONTINUE READING
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