A Novel Artificial Immune Network Model and Analysis on Its Dynamic Behavior and Stabilities

  • Liya Wang
  • Lei Wang
  • Yinling Nie
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)


A novel model of artificial immune network is presented at first, and then a simulative research work is made on its dynamic behaviors. Simulation results show that the 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, B-cell’s characteristics and transconductance. Besides this, with Liapunov’s method, the sufficient conditions for network’s stability is studied, especially for the case of system’s characteristics under the condition that the helper T-cells appear as a nonlinear function.


Dynamic Locus Artificial Immune System Suppression Type Immune Network Artificial Immune Recognition System 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liya Wang
    • 1
  • Lei Wang
    • 1
  • Yinling Nie
    • 1
  1. 1.School of Computer Science and EngineeringXi’an University of TechnologyXi’anChina

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