Analysis of a simple hysteresis network and its application for an effective associative memory

Author

Jin´no, Kenya ; Saito, Toshimichi

Author_Institution

Electr. Eng. Dept., Hosei Univ., Tokyo, Japan

fYear

1993

fDate

3-6 May 1993

Firstpage

2172

Abstract

The authors analyze the stable equilibria and stable periodic outputs for a simple hysteresis network. The simplified network includes a binary hysteresis function and has only three parameters. It is shown that the number of stable equilibria and the stable periodic output sequences can be controlled by the three parameters. The domain of attraction of stable equilibria is completely clarified and the local domain of attraction of periodic outputs is given. An application is proposed for an effective associative memory. This associative memory guarantees storing of all desired memories. It has no spurious stable output and it recalls the closest desired memory from an input vector

Keywords

content-addressable storage; neural nets; piecewise-linear techniques; associative memory; binary hysteresis function; closest desired memory; hysteresis network; local domain of attraction; stable equilibria; stable periodic outputs; Associative memory; Equations; Hysteresis; Neural networks; State feedback; Sufficient conditions; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.394189

Filename

394189