Stability Analysis for Delayed Neural Networks: A Fractional-order Function Method

2021 ◽  
Author(s):  
Yufeng Tian ◽  
Zhanshan Wang
2017 ◽  
Vol 22 (4) ◽  
pp. 505-520 ◽  
Author(s):  
Ruoxia Li ◽  
◽  
Jinde Cao ◽  
Ahmad Alsaedi ◽  
Fuad Alsaadi ◽  
...  

2017 ◽  
Vol 86 ◽  
pp. 42-53 ◽  
Author(s):  
G. Velmurugan ◽  
R. Rakkiyappan ◽  
V. Vembarasan ◽  
Jinde Cao ◽  
Ahmed Alsaedi

Author(s):  
Shuo Zhang ◽  
YangQuan Chen ◽  
Yongguang Yu

In this paper, the literature of fractional-order neural networks is categorized and discussed, which includes a general introduction and overview of fractional-order neural networks. Various application areas of fractional-order neural networks have been found or used, and will be surveyed and summarized such as neuroscience, computational science, control and optimization. Recent trends in dynamics of fractional-order neural networks are presented and discussed. The results, especially the stability analysis of fractional-order neural networks, are reviewed and different analysis methods are compared. Furthermore, the challenges and conclusions of fractional-order neural networks are given.


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