Article ID Journal Published Year Pages File Type
1706837 Applied Mathematical Modelling 2009 13 Pages PDF
Abstract

In this paper, global exponential stability of high order recurrent neural network with time-varying delay and bounded activation functions is investigated. Some improved conditions are obtained involving external input, connection weights, and time delays of recurrent neural network. Moreover, the location of the equilibrium point can be estimated. In addition, two examples are demonstrated to illustrate the effectiveness of the proposed criteria in comparison with some existing results.

Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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