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...
Збережено в:
| Дата: | 2019 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Українська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Теми: | |
| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/175554 |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | 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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