Abstract
Clonal selection theory describes selection, proliferation, and mutation process of immune cells during immune response. In this Artificial Immune System (AIS), We select not only the highest affinity antibody, but also other antibodies which have higher affinity than that of current memory cell during affinity mutation process. Simulation results for pattern recognition show that the improved model has stronger noise immunity ability than other models.
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Dai, H., Yang, Y., Che, Y., Tang, Z. (2006). Clonal Selection Theory Based Artificial Immune System and Its Application. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893257_117
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DOI: https://doi.org/10.1007/11893257_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46481-5
Online ISBN: 978-3-540-46482-2
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