This paper presents an analysis of the complex dynamic behavior of a CNN hardware system by both an experimental and a numerical approach. Stable, unstable and chaotic behaviors have been observed by setting different CNN synaptic weights. For evaluating the CNN behavior the Lyapunov method has been adopted and a software called LeChaDe (Lyapunov exponent Chaos Detection) has been implemented. The experimental apparatus, as well as the validation of the implemented numerical algorithms are described.
Russo, R., Bonaiuto, V., Salvini, A. (2005). Complex dynamic behavior of a CNN hardware system by an experimental and numerical analysis. In Proceedings of Non-linear Analysis, Non linear Systems and Chaos (NOLASC '05) (pp. 55-59). Sofia : WSEAS.
Complex dynamic behavior of a CNN hardware system by an experimental and numerical analysis
BONAIUTO, VINCENZO;
2005-01-01
Abstract
This paper presents an analysis of the complex dynamic behavior of a CNN hardware system by both an experimental and a numerical approach. Stable, unstable and chaotic behaviors have been observed by setting different CNN synaptic weights. For evaluating the CNN behavior the Lyapunov method has been adopted and a software called LeChaDe (Lyapunov exponent Chaos Detection) has been implemented. The experimental apparatus, as well as the validation of the implemented numerical algorithms are described.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
