T Cell–Inspired Algorithms
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T Cell–Inspired Algorithms book
Th is chapter presents change/anomaly detection techniques inspired by the T cell censoring and maturation process in the biological immune system. First, the main process of negative selection (NS) that results in self/nonself discrimination is described. Th en, the important features of artiﬁ cial NS are presented. Finally, diﬀ erent variations of negative selection algorithm (NSA) have been considered. Th ere is a signiﬁ cant amount of work on this topic area; therefore, for better readability, this chapter has been divided into three parts.