Heteroassociative memories via cellular neural networks

被引:0
作者
Brucoli, M
Carnimeo, L
Grassi, G
机构
[1] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy
[2] Univ Lecce, Dipartimento Matemat, I-73100 Lecce, Italy
关键词
CNN; complete stability; heteroassociative memory; autoassociative memory;
D O I
10.1002/(SICI)1097-007X(199805/06)26:3<231::AID-CTA12>3.0.CO;2-9
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper a synthesis procedure for heteroassociative memories using Cellular Neural Networks (CNNs) is presented. The suggested method, by assuring the condition of symmetry of the interconnection matrix, guarantees the complete stability of the designed network, besides providing that all the stored patterns correspond to asymptotically stable equilibrium points. Numerical examples are carried out to show the behaviour of the designed memory with respect to input perturbations. Moreover, the storage capacity and the presence of spurious equilibria have been investigated. (C) 1998 John Wiley & Sons, Ltd.
引用
收藏
页码:231 / 241
页数:11
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