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

  • Lei Wang
  • Yinling Nie
  • Weike Nie
  • Licheng Jiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

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.

Keywords

Intrusion Detection System Dynamic Locus Artificial Immune System Immune Network Chaotic Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lei Wang
    • 1
  • Yinling Nie
    • 1
  • Weike Nie
    • 2
  • Licheng Jiao
    • 2
  1. 1.School of Computer Science and EngineeringXi’an University of TechnologyXi’anChina
  2. 2.School of electronic engineeringXidian UniversityXi’anChina

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