Global properties for a class of dynamical neural circuits

被引：3

作者：

Fang, YG ^{[1
]}

Kincaid, TG ^{[1
]}

机构：

[1] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 1998年 / 335B卷 / 01期

关键词：

D O I：

10.1016/S0016-0032(96)00108-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we study the global properties of a class of asymmetrical Hopfield-type neural circuits. We first present a result for the existence and uniqueness of an equilibrium point; this result does not assume smoothness of the neural activation functions. Then we give some testable sufficient conditions for the global stability of such neural circuits. These results generalize a few previous known results and remove some restrictions on the neural circuits. (C) 1997 Published by Elsevier Science Ltd.

引用

页码：163 / 177

页数：15

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