scholarly journals Stability Analysis of Two Kinds of Fractional-Order Neural Networks Based on Lyapunov Method

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xin Chang ◽  
Qinkun Xiao ◽  
Yilin Zhu ◽  
Jielei Xiao
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.


2019 ◽  
Vol 50 (10) ◽  
pp. 2063-2076 ◽  
Author(s):  
Liguang Wan ◽  
Xisheng Zhan ◽  
Hongliang Gao ◽  
Qingsheng Yang ◽  
Tao Han ◽  
...  

Author(s):  
Tao Zou ◽  
Jianfeng Qu ◽  
Liping Chen ◽  
Yi Chai ◽  
Zhimin Yang

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