%0 Journal Article
	%A Ozlem Faydasicok and  Sabri Arik
	%D 2012
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 64, 2012
	%T An Analysis of Global Stability of a Class of Neutral-Type Neural Systems with Time Delays
	%U https://publications.waset.org/pdf/13617
	%V 64
	%X This paper derives some new sufficient conditions for
the stability of a class of neutral-type neural networks with discrete
time delays by employing a suitable Lyapunov functional. The
obtained conditions can be easily verified as they can be expressed
in terms of the network parameters only. It is shown that the results
presented in this paper for neutral-type delayed neural networks establish
a new set of stability criteria, and therefore can be considered
as the alternative results to the previously published literature results.
A numerical example is also given to demonstrate the applicability
of our proposed stability criterion.
	%P 391 - 395