Unsupervised classification using associative memory

被引：0
|
作者：
Sayeh, MR [1 ]
Li, B [1 ]
机构：
[1] So Illinois Univ, Dept Elect & Comp Engn, Carbondale, IL 62901 USA
来源：
2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL I, CONFERENCE PROCEEDINGS | 2002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, we present unsupervised classification using the Lyapunov Associative Memory (LYAM) system. This associative memory encodes the classification results as its equilibrium states. The system is modeled with only a set of nonlinear ordinary differential equations. An example is given for signal sorting application.
引用
收藏
页码：416 / 418
页数：3
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