An Evolutionary Immune Network for Data Clustering

By Leandro Nunes de Castro, F. J. Zuben. Brazilian Symposium on Neural Networks, 2000

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Immune system approaches to intrusion detection – a review (2004, methodology): “[106] 3 Approaches that exploit the Danger Theory [93] In addition, there are several younger methods such as AINET [27] and immunocomputing [94] that continue to grow in popularity.”
Theoretical advances in artificial immune systems (2008, methodology): “The algorithm aiNet, inspired by Jerne’s postulated immune network theory, was developed by de Castro and von Zuben [65,66] with the aim of finding a reduced set of points that closely represents the set of input points, or in other words, finding a compressed input set representation with less redu”
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm (2004, methodology): “This led to the development of the aiNet algorithm [11].”