Global asymptotic convergence of nonlinear relaxation equations realised through a recurrent perceptron
Conditions for global asymptotic stability (GAS) of a nonlinear relaxation equation realised by a nonlinear autoregressive moving average (NARMA) recurrent perceptron are provided. Convergence is derived through fixed point iteration (FPI) techniques, based upon a contraction mapping feature of a no...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
1999
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5813 |
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