A novel model of artificial immune network and simulations on its dynamics

  • Authors:

  • Lei Wang;Yinling Nie;Weike Nie;Licheng Jiao

  • Affiliations:

  • School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China;School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China;School of electronic engineering, Xidian University, Xi’an, China;School of electronic engineering, Xidian University, Xi’an, China

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2006

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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.