Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
Review article: Computational intelligence techniques in bioinformatics
Computational Biology and Chemistry
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Artificial immune system (AIS) is a recently developed evolutionary technique inspired by the theory or immunology. It is a powerful method for pattern recognition due to its self learning capability and memory acquisition. In this paper, we propose a complex artificial immune system (CAIS) based on an immune mechanism which emphasizes the antigen-presenting process during the immune response. The patterns encountered by the immune system are manipulated and memorized as complex styles. Compared with the traditional binary immune systems, the CAIS has a characteristic of invariant feature to recognize transformation,such as translation, scale or rotation ofpatterns. Simulation results based on arabic numerals show that the CAIS has a better acquisition of immune memory and noisy tolerance ability.