Exponential stability of delayed recurrent neural networks with Markovian jumping parameters-Reference-Cited by-同舟云学术

Exponential stability of delayed recurrent neural networks with Markovian jumping parameters

Published:2006-08 Issue:4-5 Volume:356 Page:346-352
ISSN:0375-9601
Container-title:Physics Letters A
language:en
Short-container-title:Physics Letters A

Author:

Wang Zidong,Liu Yurong,Yu Li,Liu Xiaohui

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference19 articles.

1. A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach

2. On global asymptotic stability of recurrent neural networks with time-varying delays

3. Boundedness and stability for recurrent neural networks with variable coefficients and time-varying delays

4. On global asymptotic stability of neural networks with discrete and distributed delays

5. Y. Bengio, P. Frasconi, P. Simard, The problem of learning long-term dependencies in recurrent networks, in: Proceedings 1993 IEEE Int. Conf. Neural Networks, vol. 3, 1993, pp. 1183–1188

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