conference paper
Attractor learning with nonlinear, artificial, neural network
Baier, N.
2003
Proceedings of the European Conference on Circuit Theory and Design 2003
A nonlinear recurrent neural network is trained to synthesize chaotic signals. The identification process is reduced to a teaching phase and a linear regression. The influence of the shape of the nonlinearity in the neurons and the noise amplitude are studied, as a result some design rules can be given. In a future step we want this system to be brought to synchronize in a way to perform signal classification.
Type
conference paper
Author(s)
Baier, N.
Date Issued
2003
Published in
Proceedings of the European Conference on Circuit Theory and Design 2003
Volume
3
Start page
417
End page
420
Subjects
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
| Event name | Event place | Event date |
Cracow, Poland | 1-4 September 2003 | |
Available on Infoscience
December 3, 2004
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