Pattern recognition in a neural network with chaos

被引：10
|
作者：
Tan, Z [1 ]
Ali, MK [1 ]
机构：
[1] Univ Lethbridge, Dept Phys, Lethbridge, AB T1K 3M4, Canada
来源：
PHYSICAL REVIEW E | 1998年 / 58卷 / 03期
关键词：
D O I：
10.1103/PhysRevE.58.3649
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
Chaos is introduced into the Gardner model [J. Phys. A 21, 257 (1988); 22, 1969 (1989)] by reducing the number of connections among neurons. It is shown that patterns can be recognized in this chaotic model by means of chaos control focusing on the history of evolution of the states. Fixed points are not required for pattern recognition in this scheme.
引用
收藏
页码：3649 / 3653
页数：5
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