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}
}
  • Eric A. 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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    Model identification of time-delay nonlinear system with FIR neural network

    • Li-feng Wang, Zhengxi Li
    • Computer Science
    • Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)
    • 2003

    A modified FIR network for time series prediction

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    CITES BACKGROUND

    Time series forecasting using multilayer neural network constructed by a Monte-Carlo based algorithm

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    CITES METHODS

    Time-series data prediction based on reconstruction of missing samples and selective ensembling of FIR neural networks

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    • Eric A. Wan
    • Computer Science
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    • 1990
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    The LMS algorithm with delayed coefficient adaptation