interval neural networks
Recently Published Documents


TOTAL DOCUMENTS

65
(FIVE YEARS 2)

H-INDEX

22
(FIVE YEARS 0)

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 9809-9820 ◽  
Author(s):  
Shouping Guan ◽  
Zihe Zhang ◽  
Zhouying Cui

2019 ◽  
Vol 118 ◽  
pp. 338-351 ◽  
Author(s):  
Jonathan Sadeghi ◽  
Marco de Angelis ◽  
Edoardo Patelli

2014 ◽  
Vol 257 ◽  
pp. 313-330 ◽  
Author(s):  
Mario G.C.A. Cimino ◽  
Beatrice Lazzerini ◽  
Francesco Marcelloni ◽  
Witold Pedrycz

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Guiying Chen ◽  
Linshan Wang

The stability of a class of static interval neural networks with time delay in the leakage term is investigated. By using the method ofM-matrix and the technique of delay differential inequality, we obtain some sufficient conditions ensuring the global exponential robust stability of the networks. The results in this paper extend the corresponding conclusions without leakage delay. An example is given to illustrate the effectiveness of the obtained results.


Sign in / Sign up

Export Citation Format

Share Document