Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: locally recurrent neural network

Sortuj według:

Ogranicz wyniki do:

Local stability conditions for discrete-time cascade locally recurrent neural networks

100%

Patan K.

International Journal of Applied Mathematics and Computer Science

2010

tom 20

nr 1

23-34

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Patan K.

1 2010

Wyniki wyszukiwania

Local stability conditions for discrete-time cascade locally recurrent neural networks