Chaotic Behavior of a Class of Neural Network with Discrete Delays


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.

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S. Mandal, D. Jana, A. Roy and N. Majee, "Chaotic Behavior of a Class of Neural Network with Discrete Delays," International Journal of Modern Nonlinear Theory and Application, Vol. 2 No. 1A, 2013, pp. 97-101. doi: 10.4236/ijmnta.2013.21A012.

Conflicts of Interest

The authors declare no conflicts of interest.


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