|Table of Contents|

Multistability of Neural Networks With Discontinuous Activation Functions(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2013年03期
Page:
16-20
Research Field:
数学
Publishing date:

Info

Title:
Multistability of Neural Networks With Discontinuous Activation Functions
Author(s):
Chen Xiaofeng1; Tan Yuanshun1; Kuang Yang2
(1.School of Science,Chongqing Jiaotong University,Chongqing 400074,China) (2.School of Civil Engineering and Architecture,Chongqing Jiaotong University,Chongqing 400074,China)
Keywords:
neural networks; multistability; exponential stability; discontinuous activation functions
PACS:
O175.13
DOI:
-
Abstract:
The problem on multistability of equilibria is investigated for a class of neural networks with discontinuous activation functions.By using Brouwer’s fixed-point theorem and constructing an appropriate Lyapunov-Krasovskii functional and the matrix inequality techniques,some new criterions for checking the existence,and local exponential stability of equilibria are derived.One simulation example is given to show the effectiveness of the proposed result.

References:

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Memo

Memo:
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Last Update: 2013-09-30