Global exponential stability in Lagrange sense for periodic neural networks with various activation functions
نویسندگان
چکیده
In this paper, global exponential stability in Lagrange sense for periodic neural networks with various activation functions is further studied. By constructing appropriate Lyapunov-like functions, we provide easily verifiable criteria for the boundedness and global exponential attractivity of periodic neural networks. These theoretical analysis can narrow the search field of optimization computation, associative memories, chaos control and provide convenience for applications. Crown Copyright & 2010 Published by Elsevier B.V. All rights reserved.
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عنوان ژورنال:
- Neurocomputing
دوره 74 شماره
صفحات -
تاریخ انتشار 2011