Time Domain Characteristic Analysis of Non-coupled PCNN
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Northwest Normal University, Lanzhou

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the National Natural Science Foundation of China (No. 61961037) and the Industrial Support Plan of Education Department of Gansu Province (No. 2021CYZC-30)

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    Abstract:

    Pulse coupled neural network(PCNN) is a multi-parameter artificial neural network, the characteristics of PCNN network can be fully explored by analyzing different simplified networks. In this paper, the firing characteristics of non-coupled PCNN model with linking terms are studied, by analyzing the firing mechanism of neurons, and the mathematical expressions of firing time and firing interval are summarized. By constructing different neighborhood linking weight matrix models, the influence of linking weight matrix and linking weight coefficient on network characteristics is further analyzed, and the constraint conditions of parameters are given. Finally, the correctness of theoretical analysis is verified through experimental simulation, and the analysis of different connection characteristics of PCNN network is further improved.

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History
  • Received:October 17,2023
  • Revised:January 15,2024
  • Adopted:January 29,2024
  • Online:
  • Published: