• Corpus ID: 12652643

Time series prediction by using a connectionist network with internal delay lines

@inproceedings{Wan1993TimeSP,
  title={Time series prediction by using a connectionist network with internal delay lines},
  author={Eric A. Wan},
  year={1993}
}
  • E. Wan
  • Published 1993
  • Computer Science
A neural network architecture, which models synapses as Finite Impulse Response (FIR) linear lters, is discussed for use in time series prediction. Analysis and methodology are detailed in the context of the Santa Fe Institute Time Series Prediction Competition. Results of the competition show that the FIR network performed remarkably well on a chaotic laser intensity time series. 
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162 Citations
Highly Influential Citations
17
Background Citations
50
Methods Citations
52
Results Citations
5

162 Citations

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    Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.
  • 2002
TLDR
A modified FIR (Finite Impulse Response) network model for improving the capability of time series prediction system and can avoid the over-training effect that is caused by unbalanced learning data is presented.
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References

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