1. The Receptor Density Algorithm.
- Author
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Owens, Nick D.L., Greensted, Andrew, Timmis, Jon, and Tyrrell, Andy
- Subjects
- *
ALGORITHMS , *APPLICATION software , *ANOMALY detection (Computer security) , *IMMUNE system , *COMPUTER performance , *COMPUTER science - Abstract
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. [Copyright &y& Elsevier]
- Published
- 2013
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