This paper formulates and studies a model of neural network under a time-varying environment. Without assuming the smoothness, monotonicity and boundedness of the activation functions, the existence and global exponential stability of an unique equilibrium are investigated. Ourap-proach is based on the Brouwer's fixed point theorem, Banach fixed point theorem, and Halanay-type inequality.
Stability Analysis of a Class of Two-Neuron Networks with Time-Varying Delays
2008 Congress on Image and Signal Processing ; 4 ; 408-412
2008-05-01
243337 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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