Cellular neural networks with second-order cells and their pattern forming properties

被引：0
|
作者：
Matei, RP [1 ]
机构：
[1] Tech Univ Gh Asachi Iasi, Iasi 6600, Romania
来源：
PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL V: BIO-MEDICAL CIRCUITS & SYSTEMS, VLSI SYSTEMS & APPLICATIONS, NEURAL NETWORKS & SYSTEMS | 2003年
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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 a new CNN model with second-order cells is proposed. The system dynamic behaviour is analyzed using the state equations. Its eigenvalues are studied in the space frequency domain and we show how the template and circuit parameters can be varied to obtain dispersion curves with a desired shape, which allows one to precisely select the unstable modes, with useful applications in pattern formation.
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页码：773 / 776
页数：4
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