Abstract
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.
This research is supported by Shaanxi Province Education Department’s Science Research Project under grant no06JK224.
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Wang, L., Wang, L., Nie, Y. (2006). A Novel Artificial Immune Network Model and Analysis on Its Dynamic Behavior and Stabilities. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_11
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DOI: https://doi.org/10.1007/11881223_11
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