LEARNING
Artificial neural network for sequence learning
Sorin Moga, Philippe Gaussier
- Year
- 2003
- Citations
- 3
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
Keywords
BanquetSequence (biology)Artificial neural networkComputer scienceArtificial intelligenceRecurrent neural networkDeep learningRobotSequence learning
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002