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Conference papers
Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture
Abstract : This paper presents a multi-map recurrent neural architecture, exhibiting self-organization to deal with the partial observations of the phase of some dynamical system. The architecture captures the dynamics of the system by building up a representation of its phases, coping with ambiguity when distinct phases provide identical observations. The architecture updates the resulted representation to adapt to changes in its dynamics due to self-organization property. Experiments illustrate the dynamics of the architecture when fulfilling this goal.
Cited literature [9 references]
https://hal-supelec.archives-ouvertes.fr/hal-00652312
Contributor : Sébastien van Luchene <>
Submitted on : Thursday, December 15, 2011 - 11:52:43 AM
Last modification on : Tuesday, October 27, 2020 - 2:34:45 PM
Long-term archiving on: : Friday, November 16, 2012 - 3:40:18 PM
Contributor : Sébastien van Luchene <>
Submitted on : Thursday, December 15, 2011 - 11:52:43 AM
Last modification on : Tuesday, October 27, 2020 - 2:34:45 PM
Long-term archiving on: : Friday, November 16, 2012 - 3:40:18 PM
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KhouzamNaBIC11.pdf
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