The Receptor Density Algorithm

N Owens, Andrew J. Greensted, Jon Timmis, Andy Tyrrell

Research output: Contribution to journalArticlepeer-review


This paper describes the biological and theoretical foundations of a new Artificial Immune System the Receptor Density Algorithm. The algorithm is developed with inspiration from T cell signalling processes and has application in anomaly detection. Connections between the Receptor Density Algorithm and kernel density estimation with exponential smoothing are demonstrated. Finally, the paper evaluates the algorithm’s performance on two types of anomaly detection problem.
Original languageEnglish
Pages (from-to)51073
Number of pages23
JournalTheoretical Computer Science
Issue numbern/a
Early online date3 Nov 2012
Publication statusPublished - 15 Apr 2013

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