Chaotic synchronization and neural networks

Details Chaotic synchronization and neural networks Chaotic synchronization and neural networks

Aug 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994r%26qe...37..662v&link_type=abstract

Radiophysics and Quantum Electronics, Volume 37, Issue 8, pp.662-667

Physics

Scientific paper

A method of developing chaotically synchronized systems when the structure of the system that generates the driving signal is unknown is proposed in this paper. This method is based on the approximation of the driving system structure by neural networks incorporated in the response system. This makes the method different from those proposed previously, which are based on the analysis of the presumedly known equations of motion of the driving system. The method is illustrated by an example of developing synchronized systems for the dynamic Lorentz system.

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