Synthesis of bipolar associative memories based on cellular neural networks with two-dimensional space-invariant templates

被引：0
|
作者：
Zeng, Zhigang [1 ,2 ]
Wang, Jun [2 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Hubei, Peoples R China
[2] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Shatin, Peoples R China
来源：
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年
关键词：
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：
In this paper, a design procedure is presented for synthizing associative memories based on cellular neural networks with two-dimensional space-invariant templates. The theoretical analysis herein guarantees that the desired memory patterns are stored as asymptotically stable equilibrium points. In addition, it is shown that procedure herein can ensure the designed input matrix to be obtained by using space-invariant cloning templates. Hence, it is very convenient for one to design cellular neural networks for associative desired memory patterns effectively.
引用
收藏
页码：1015 / +
页数：2
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