Exponential convergence for BAM neural networks with distributed delays
This paper concerns the exponential convergence of bidirectional associative memory (BAM) neural networks with unbounded distributed delays. Sufficient conditions are derived by exploiting the exponentially fading memory property of delay kernel functions. The method is based on comparison prin...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Texas State University
2008-09-01
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Series: | Electronic Journal of Differential Equations |
Subjects: | |
Online Access: | http://ejde.math.txstate.edu/Volumes/2008/133/abstr.html |