Експоненціальна оцінка для рекурентної нейронної мережі з дискретним запізненням
The purpose of this study is to develop and apply a method for calculating the exponential fade rate for a model of a recurrent neural network based on discrete latency differential equations. An exponential estimate is obtained on the basis of the difference inequality for the Lyapunov function. An...
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| Datum: | 2019 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainisch |
| Veröffentlicht: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Schlagworte: | |
| Online Zugang: | http://journal.iasa.kpi.ua/article/view/175554 |
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| Назва журналу: | System research and information technologies |
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System research and information technologies| Zusammenfassung: | The purpose of this study is to develop and apply a method for calculating the exponential fade rate for a model of a recurrent neural network based on discrete latency differential equations. An exponential estimate is obtained on the basis of the difference inequality for the Lyapunov function. An example of the exponential estimation for a model of a recurrent neural network with three neurons is presented. |
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