Multiplierless digital learning algorithm for cellular neural networks

被引：8
|
作者：
Perfetti, R [1 ]
Costantini, G
机构：
[1] Univ Perugia, Dept Elect & Informat Engn, Perugia, Italy
[2] Univ Roma Tor Vergata, Dept Elect Engn, Rome, Italy
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 2001年 / 48卷 / 05期
关键词：
associative memories; cellular neural networks; learning;
D O I：
10.1109/81.922467
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：
A new learning algorithm is proposed for space-varying cellular neural networks, used to implement associative memories. The algorithm exhibits some peculiar features which make it very attractive: the finite precision of connection weights is automatically taken into account as a design constraint; no multiplication is needed for weight computation; learning can be implemented in fixed point digital hardware or simulated on a digital computer without numerical errors.
引用
收藏
页码：630 / 635
页数：6
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