TITLE:
Chaotic Behavior of a Class of Neural Network with Discrete Delays
AUTHORS:
S. Mandal, D. Jana, A. B. Roy, N. C. Majee
KEYWORDS:
Neuronal Gain; Chaos; Lyapunov Exponent; Jacobian Matrix
JOURNAL NAME:
International Journal of Modern Nonlinear Theory and Application,
Vol.2 No.1A,
March
29,
2013
ABSTRACT: In this paper, the effect of neuronal gain in discrete delayed neural network model is investigated. It is observed that such neural networks become highly chaotic due to the presence of high neuronal gain. On the basis of the largest Lyapunov exponent and largest eigenvalue of Jacobian matrix, chaos analysis has been done. Finally, some numerical simulations are presented to justify our results.