ML Anthology

Artificial Neural Network for Sequence Learning

Sorin Moga, Philippe Gaussier
IJCAI 2003 pp. 1507-
/ijcai/2003/moga2003ijcai-artificial/

Abstract

This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows an autonomous robot to learn how to imitate a sequence of movements with the correct timing. 1

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Text

Moga and Gaussier. "Artificial Neural Network for Sequence Learning." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[Moga and Gaussier. "Artificial Neural Network for Sequence Learning." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/moga2003ijcai-artificial/)

BibTeX

@inproceedings{moga2003ijcai-artificial,
  title     = {{Artificial Neural Network for Sequence Learning}},
  author    = {Moga, Sorin and Gaussier, Philippe},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {1507-},
  url       = {https://mlanthology.org/ijcai/2003/moga2003ijcai-artificial/}
}