Time domain characteristic analysis of non-coupled PCNN  

作　　者：DENG Xiangyu YU Haiyue HUANG Xikai 

机构地区：[1]College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou 730070,China

出　　处：《Optoelectronics Letters》2024年第11期689-696,共8页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61961037);the Industrial Support Plan of Education Department of Gansu Province(No.2021CYZC-30)。

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.

关 键 词：NEURAL artificial LINKING 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]