Global output convergence of recurrent neural networks with distributed delays (Q864215)
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scientific article; zbMATH DE number 5125038
| Language | Label | Description | Also known as |
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| English | Global output convergence of recurrent neural networks with distributed delays |
scientific article; zbMATH DE number 5125038 |
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Global output convergence of recurrent neural networks with distributed delays (English)
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13 February 2007
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The authors study the global output convergence of a class of recurrent neural networks with distributed delays and time-varying inputs. By global output convergence it is understood the convergence of the activation function applied to any solution. New sufficient conditions are obtained by using the M-matrix properties. Some illustrative examples are included at the end of the paper.
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global output convergence
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recurrent neural networks
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distributed delays
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time-varying input
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M-matrix
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