Learning algorithm for pattern classification using cellular neural networks

被引：8

作者：

Grassi, G ^{[1
]}

Di Sciascio, E

机构：

[1] Univ Lecce, Dipartimento Ingn Innovazione, I-73100 Lecce, Italy

[2] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy

来源：

ELECTRONICS LETTERS | 2000年 / 36卷 / 23期

关键词：

D O I：

10.1049/el:20001368

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 for pattern classification using cellular neural networks is described. The authors show that patterns belonging to the training set as well as patterns outside it can be classified reliably using the proposed algorithm. Comparisons with well established classification techniques clearly highlight the performances of the approach developed herein.

引用

页码：1941 / 1943

页数：3

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