Abstract
Artificial immune system (AIS) and its applications have become a search hotspot in recent years. According to the theory of immune response and immune network, the Adaptive Immune Response Network (AIRN) is presented in this paper. In AIRN, the expression and procedure are given. The AIRN is applied to the clustering analysis, and this cluster method can receive data modes more quickly. The testing results show that the AIRN has better performance in data partition and pattern recognition than the clustering algorithm based on GA and the others.
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Liu, T., Zhang, L., Shi, B. (2009). Adaptive Immune Response Network Model. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_96
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DOI: https://doi.org/10.1007/978-3-642-04020-7_96
Publisher Name: Springer, Berlin, Heidelberg
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