Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
Chaotic and Hyperchaotic Attractors in Time-Delayed Neural Networks
verfasst von : Dong Zhang, Jian Xu
Erschienen in: Complex Sciences
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
It is well known that complex dynamic behaviors exist in time-delayed neural networks. Infinite positive Lyapunov exponents can be found in time-delayed chaotic systems since the dimension of such systems is infinite. This paper presents an infinite-dimension hyperchaotic time-delayed neuron system with sinusoidal activation function. The hyperchaotic neuron system is studied by Lyapunov exponent, phase diagram, Poincare section and power spectrum. Numerical simulations show that the new system’s behavior can be convergent, periodic, chaotic and hyperchaotic when the time-delay parameter varies.