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Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions
Wang, Lili1; Chen, Tianping2
刊名NEUROCOMPUTING
2015-03-25
卷号152页码:222-230
关键词High-order neural networks Multistability Nonsmooth activation function Complete stability
ISSN号0925-2312
DOI10.1016/j.neucom.2014.10.075
英文摘要In this paper, we are concerned with a class of high-order neural networks (HONNs) with nonsmooth activation functions. A set of new sufficient conditions ensuring the coexistence of 3(n) equilibrium points and the local stability of 2(n) equilibrium points are proposed, which reveal that the high-order interactions between neurons also play an important role on the multistability of HONNs. Besides, every solution is shown to converge to a certain equilibrium point, that is, the systems are also completely stable. Furthermore, for the 2-neuron neural networks, we can get that the stable manifolds of unstable equilibrium points constitute the boundaries of attraction basins of stable equilibrium points, despite the nonlinearity of high-order items of HONNs. Several numerical examples are presented to illustrate the effectiveness of our criteria. (C) 2014 Elsevier B.V. All rights reserved.
WOS研究方向Computer Science
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000349572600023
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/1573]  
专题上海财经大学
通讯作者Wang, Lili
作者单位1.Shanghai Univ Finance & Econ, Sch Math, Shanghai, Peoples R China;
2.Fudan Univ, Sch Math Sci, Sch Comp Sci, Key Lab Nonlinear Math Sci, Shanghai 200433, Peoples R China
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Wang, Lili,Chen, Tianping. Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions[J]. NEUROCOMPUTING,2015,152:222-230.
APA Wang, Lili,&Chen, Tianping.(2015).Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions.NEUROCOMPUTING,152,222-230.
MLA Wang, Lili,et al."Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions".NEUROCOMPUTING 152(2015):222-230.
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