Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1705376 | Applied Mathematical Modelling | 2011 | 7 Pages |
Abstract
In this paper, we consider high-order recurrent neural networks with a class of general activation functions. By using some mathematical analysis techniques, we establish new results to ensure that all solutions of the networks converge exponentially to zero point.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Hong Zhang, Wentao Wang, Bing Xiao,