Analysis and Design of Associative Memories Based on Cellular Neural Networks with Space-invariant Cloning Templates

被引：0

作者：

Zeng, Zhigang ^{[1
]}

Wang, Jun ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China

[2] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Peoples R China

来源：

IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 | 2009年

关键词：

TIME-VARYING DELAYS; STABILITY; ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new design procedure for the synthesis of associative memories based on cellular neural networks characterized by input and output matrices obtained based on cloning templates by solving a set of inequalities. The design parameters are few even though the dimension of patterns may be very high. The design procedure enables heteroassociative or autoassociative memories to be synthesized with assured global exponential stability and feeding retrieval probes via external inputs rather than initial conditions. Two specific examples are shown to illustrate the applicability of the methodology.

引用

页码：1426 / +

页数：2

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