Cellular neural networks: applications

Author

Chua, Leon O. ; Yang, Lin

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA

Volume

35

Issue

10

fYear

1988

fDate

10/1/1988 12:00:00 AM

Firstpage

1273

Lastpage

1290

Abstract

The theory of a novel class of information-processing systems, called cellular neural networks, which are capable of high-speed parallel signal processing, was presented in a previous paper (see ibid., vol.35, no.10, p.1257-72, 1988). A dynamic route approach for analyzing the local dynamics of this class of neural circuits is used to steer the system trajectories into various stable equilibrium configurations which map onto binary patterns to be recognized. Some applications of cellular neural networks to such areas as image processing and pattern recognition are demonstrated, albeit with only a crude circuit. In particular, examples of cellular neural networks which can be designed to recognize the key features of Chinese characters are presented

Keywords

analogue computer circuits; cellular arrays; character recognition; computerised pattern recognition; computerised picture processing; computerised signal processing; neural nets; parallel architectures; real-time systems; Chinese characters; binary patterns; cellular neural networks; dynamic route approach; high-speed parallel signal processing; image processing; information-processing systems; large scale nonlinear analogue circuits; pattern recognition; real time processing; stable equilibrium configurations; Cellular neural networks; Character recognition; Circuits; Embryo; Image processing; Large-scale systems; Neural networks; Pattern analysis; Pattern recognition; Signal processing;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.7601

Filename

7601