On the Neurodynamic Model of Recurrent Networks
نویسنده
چکیده
Neurodynamical models of recurrent networks are characterized by their topology, by interactions between the elements sitting at the nodes of a network and by intrinsic dynamics of these local subsystems. In the present paper we give some relationship between Lyapunov’s exponents and the recurrent neural network model described by the system of delay-differential equations. We investigate the dynamic properties of the specific class of nonlinear delay-differential equations by studying the asymptotic behaviour of their solutions by means of Lyapunov’s exponents.
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تاریخ انتشار 2008