Time domain characteristic analysis of non-coupled PCNN

被引：0
|
作者：
Deng, Xiangyu [1 ]
Yu, Haiyue [1 ]
Huang, Xikai [1 ]
机构：
[1] Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou 730070, Peoples R China
来源：
OPTOELECTRONICS LETTERS | 2024年 / 20卷 / 11期
基金：
中国国家自然科学基金;
关键词：
A;
D O I：
10.1007/s11801-024-3223-1
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Pulse-coupled neural network (PCNN) is a multi-parameter artificial neural network, and the characteristics of PCNN can be fully explored by analyzing different simplified networks. In this paper, the firing characteristics of non-coupled PCNN with coupled linking term are studied, the mathematical expressions of firing time and interval are summarized, and further the influence of linking weight matrix and linking weight coefficient on network characteristics is analyzed, and the constraints of parameters are given. Finally, extensive verification experiments are carried out for the phenomenon of image edge detection that occurs in the experiments, which provides theoretical support for further research and application of PCNN model.
引用
收藏
页码：689 / 696
页数：8
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