Dynamic Characteristics of Biological Neural Network Based on Discontinuous Excitation Function

Authors

  • Hongyan Chen

Abstract

The neural network based on the theory of biological neural network has a wide range
of applications, but the difference between artificial neural network and biological
neural network is that it is difficult to accurately describe the dynamic behaviour of
neurons, and functional equations need to be introduced. Based on this, this paper first
studies the corresponding operation mechanism of biological neuron and artificial
neural network, and then analyses the function and type of discontinuous excitation
function of neural network and the properties of excitation function. Finally, the global
dissipativity, finite time stabilization and Mittag-Leffler synchronization of neural
networks based on discontinuous excitation functions are presented, which broaden the
application range of discontinuous excitation functions in the field of neural network
dynamics.

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Published

2020-11-01

Issue

Section

Articles