A SURVEY OF FRACTIONAL-ORDER NEURAL NETWORKS

被引:0
|
作者
Zhang, Shuo [1 ]
Chen, YangQuan [2 ]
Yu, Yongguang [1 ]
机构
[1] Beijing Jiaotong Univ, Dept Math, Sch Sci, Beijing 100044, Peoples R China
[2] Univ Calif Merced, Sch Engn, MESA Lab, 5200 North Lake Rd, Merced, CA 95343 USA
基金
中国国家自然科学基金;
关键词
STABILITY ANALYSIS; NONLINEAR DYNAMICS; SYNCHRONIZATION; CHAOS; BIFURCATION; SIMULATION; SYSTEMS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:10
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