Neural network approach to forecasting of quasiperiodic financial time series

@article{Bodyanskiy2006NeuralNA,
  title={Neural network approach to forecasting of quasiperiodic financial time series},
  author={Yevgeniy V. Bodyanskiy and S. Popov},
  journal={Eur. J. Oper. Res.},
  year={2006},
  volume={175},
  pages={1357-1366}
}
A novel neural network approach to forecasting of financial time series based on the presentation of the series as a combination of quasiperiodic components is presented. Separate components may have aliquant, and possibly non-stationary frequencies. All their parameters are estimated in real time in an ensemble of predictors, whose outputs are then optimally combined to obtain the final forecast. Special architecture of artificial neural network and learning algorithms implementing this… Expand
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References

SHOWING 1-10 OF 22 REFERENCES
Intelligent systems and financial forecasting
  • J. Kingdon
  • Engineering, Computer Science
  • Perspectives in neural computing
  • 1997
  • 50
Some known facts about financial data
  • 10
  • PDF
Time series analysis, forecasting and control
  • 12,586
A globally convergent adaptive predictor
  • 41
Actively Searching for an Effective Neural Network Ensemble
  • 322
On Combining Artificial Neural Nets
  • 444
...
1
2
3
...