Optoelectronics Letters, Volume. 20, Issue 11, 689(2024)

Time domain characteristic analysis of non-coupled PCNN*

Xiangyu DENG... Haiyue YU and Xikai HUANG |Show fewer author(s)

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.

Tools

Get Citation

Copy Citation Text

DENG Xiangyu, YU Haiyue, HUANG Xikai. Time domain characteristic analysis of non-coupled PCNN*[J]. Optoelectronics Letters, 2024, 20(11): 689

Download Citation

EndNote(RIS)BibTexPlain Text
Save article for my favorites
Paper Information

Category: PAPERS

Received: Oct. 17, 2023

Accepted: Dec. 25, 2024

Published Online: Dec. 25, 2024

The Author Email:

DOI:10.1007/s11801-024-3223-1

Topics