A SPECTRAL APPROACH FOR CHAOS PREDICTION IN DELAYED CELLULAR NEURAL NETWORKS

Marco Gilli · International Journal of Bifurcation and Chaos · 1995

We apply a spectral technique for predicting chaos in a complex system, described by a functional differential equation: a delayed cellular neural network. We show that by solving simple sets of transcendental equations, the delay which gives rise to period doubling bifurcation and the range of parameters for which chaos occurs can be predicted with a very high accuracy.

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