Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms. (Q1429837)
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scientific article; zbMATH DE number 2066782
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms. |
scientific article; zbMATH DE number 2066782 |
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Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms. (English)
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27 May 2004
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Discrete-time recurrent neural networks are used for a nonlinear system identification problem. The input-to-state stability approach is applied in order to obtain some new learning laws. Simulation results are given as well.
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discrete-time neural networks
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system identification
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input-to-state stability approach
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learning
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