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Model Design

A Novel Model of Artificial Immune Network and Simulations on Its Dynamics

Lei WangContact Information, Yinling NieContact Information, Weike NieContact Information and Licheng JiaoContact Information

(1)  School of Computer Science and Engineering, Xi’an University of Technology, 710048 Xi’an, China
(2)  School of electronic engineering, Xidian University, 710071 Xi’an, China
Abstract
A novel model of artificial immune network is presented at first, and then a simulative research work is made on its dynamic behaviors. In this model, a B cell makes a key role that takes antigens in, so as to generate antibodies as its outputs. Under five different kinds of adjustment by suppressor T cells, number of antibodies will keep to a certain degree through influencing the B cell’s activation. On the other hand, with help T cells, different B cells could cooperate from each other, which makes the system’s dynamic behavior appear more complex, such as phenomena of limit cycle, chaos, etc. Simulative results show that limit cycle and chaos may exist simultaneously when four units are in connection, and the network’s characteristic has a close relationship with the intensity of suppressor T cell’s function.
This research is supported by National Science Foundation of China under grant no60372045.

Contact Information Lei Wang
Email: leiwang@xaut.edu.cn

Contact Information Yinling Nie
Email: yinlingnie@xaut.edu.cn

Contact Information Weike Nie
Email: wknie@mail.xidian.edu.cn

Contact Information Licheng Jiao
Email: lchjiao@mail.xidian.edu.cn
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