Cellular Neural Networks: Applications

LO CHUA,L YANG

IEEE Transactions on Circuits and Systems（1988）

UNIV CALIF BERKELEY

被引用3305|浏览119

摘要

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. >

查看译文

关键词

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