TY - GEN A1 - Patan, Krzysztof A2 - Korbicz, Józef - red. A2 - Uciński, Dariusz - red. PB - Zielona Góra: Uniwersytet Zielonogórski N2 - 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. L1 - http://www.zbc.uz.zgora.pl/Content/46832/AMCS_2010_20_1_2.pdf L2 - http://www.zbc.uz.zgora.pl/Content/46832 KW - locally recurrent neural network KW - stability KW - stabilization KW - learning KW - constrained optimization T1 - Local stability conditions for discrete-time cascade locally recurrent neural networks UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=46832 ER -