On-line learning algorithms for locally recurrent neural networks

@article{Campolucci1999OnlineLA,
  title={On-line learning algorithms for locally recurrent neural networks},
  author={Paolo Campolucci and Aurelio Uncini and Francesco Piazza and Bhaskar D. Rao},
  journal={IEEE transactions on neural networks},
  year={1999},
  volume={10 2},
  pages={253-71}
}
This paper focuses on on-line learning procedures for locally recurrent neural networks with emphasis on multilayer perceptron (MLP) with infinite impulse response (IIR) synapses and its variations which include generalized output and activation feedback multilayer networks (MLN's). We propose a new gradient-based procedure called recursive backpropagation (RBP) whose on-line version, causal recursive backpropagation (CRBP), presents some advantages with respect to the other on-line training… CONTINUE READING

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Reti ricorrenti ed elaborazione adattativa di sequenze

  • P. Frasconi
  • Ph.D. dissertation, Dip. di Sistemi e Informatica…
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