Cellular neural networks considering hysteresis characteristic

被引：0
|
作者：
Namba, M [1 ]
Kawabata, H [1 ]
Kanagawa, A [1 ]
Zhang, Z [1 ]
机构：
[1] Okayama Prefectural Univ, Fac Comp Sci & Syst Engn, Okayama 7191197, Japan
来源：
2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS | 2000年
关键词：
D O I：
10.1109/APCCAS.2000.913507
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cellular Neural Network has been widely used for associative memory, but has a problem called indeterminate cell. In this paper, we have proposed CNN considering hysteresis characteristic as one of the methods to avoid the indeterminate cell, and confirmed its effectiveness in simulations.
引用
收藏
页码：352 / 355
页数：2
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