Artificial Neural Network for Sequence Learning

Moga, Sorin; Gaussier, Philippe

Artificial Neural Network for Sequence Learning

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Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1507--1.

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 .

Sorin Moga, and Philippe Gaussier. 2003. Artificial Neural Network for Sequence Learning. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1507–-1. https://ijcai.org/proceedings/2003/253

@inproceedings{ijcai2003p253,
  title     = {Artificial Neural Network for Sequence Learning},
  author    = {Moga, Sorin and Gaussier, Philippe},
  booktitle = {Proceedings of the Eighteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-03}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Georg Gottlob},
  pages     = {1507---1},
  year      = {2003},
  url       = {https://ijcai.org/proceedings/2003/253},
}

TY  - CPAPER
TI  - Artificial Neural Network for Sequence Learning
AU  - Moga, Sorin
AU  - Gaussier, Philippe
T2  - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2003
SP  - 1507
EP  - -1
UR  - https://ijcai.org/proceedings/2003/253
ER  -