Information processing using optoelectronic delayed systems: influence of an additional delay

In this MSc thesis, we study the performance of a delayed optoelectronic reservoir computer. We focus our atention on the system’s optimization through the addition of a second temporal delay. We find that the addition of this delay has a positive influence for some benchmark tasks while it remains neutral in other cases. In particular, we evaluate linear and nonlinear memory capacities as well as nonlinear time series prediction of a chaotic Mackey-Glass system and NARMA (Nonlinear Auto Regressive Moving Average Models) systems.



Master Thesis presentation



 



Contact details:

Miguel C. Soriano
971 17 13 14
Contact form


This web uses cookies for data collection with a statistical purpose. If you continue browsing, it means acceptance of the installation of the same.


More info I agree