HIV/AIDS Model Based on Local Activity of CNN

Xisong Dong, Gang Xiong


A  Cellular Neural Network (CNN) model of two strain (antiretroviral sensitive and resistant) Human Immunodeficiency Virus (HIV) is established, and then analyzed and simulated based on the local activity of  CNN with five local state variables and one port. Numerical simulations exhibit that this CNN model may explain some complex phenomena during antiretroviral therapy which make it possible to judge the curative effect of long-time antiretroviral therapy and social influence. All these imply that the local activity of CNN provides a practical tool for the study of the complex dynamics of some coupled nonlinear systems, especially life systems.

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Journal of Mathematics Research   ISSN 1916-9795 (Print)   ISSN 1916-9809 (Online)

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