Stability Analysis on Neural Networks with A Class of Mexican-Hat-type Activation Functions

被引：0
|
作者：
Wang, Lili [1 ]
机构：
[1] Shanghai Univ Finance & Econ, Dept Appl Math, Shanghai, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3 | 2014年
关键词：
Neural networks; multistability; Mexican-hat activation; MULTISTABILITY; IDENTIFICATION; SYSTEM; DELAYS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A class of neural networks with Mexican-hat-type activation functions are discussed in this paper. By differentiating the external inputs I-i (i = 1, 2, ... , n) into different four ranges, a set of new sufficient conditions are presented to study the multistability of systems. The obtained results improve and extend some recent works.
引用
收藏
页码：1150 / 1154
页数：5
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