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The Receptor Density Algorithm

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JournalTheoretical Computer Science
DateE-pub ahead of print - 3 Nov 2012
DatePublished (current) - 15 Apr 2013
Issue numbern/a
Volume481
Number of pages23
Pages (from-to)51073
Early online date3/11/12
Original languageEnglish

Abstract

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.

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