- Tytuł:
- Local stability conditions for discrete-time cascade locally recurrent neural networks
- Autorzy:
- Patan, K.
- Powiązania:
- https://bibliotekanauki.pl/articles/907772.pdf
- Data publikacji:
- 2010
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
sieć lokalnie rekurencyjna
stabilność
stabilizacja
uczenie się
optymalizacja ograniczona
locally recurrent neural network
stability
stabilization
learning
constrained optimization - Opis:
- The paper deals with a specific kind of discrete-time recurrent neural network designed with dynamic neuron models. Dynamics are reproduced within each single neuron, hence the network considered is a locally recurrent globally feedforward. A crucial problem with neural networks of the dynamic type is stability as well as stabilization in learning problems. The paper formulates local stability conditions for the analysed class of neural networks using Lyapunov's first method. Moreover, a stabilization problem is defined and solved as a constrained optimization task. In order to tackle this problem, a gradient projection method is adopted. The efficiency and usefulness of the proposed approach are justified by using a number of experiments.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 23-34
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł