The receptor density algorithm

DOI10.1016/j.tcs.2012.10.057zbMath1291.92014OpenAlexW2014749486WikidataQ60473646 ScholiaQ60473646MaRDI QIDQ385060

Nick D. L. Owens, Andrew Greensted, Jon Timmis, A. M. Tyrrell

Publication date: 29 November 2013

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2012.10.057

zbMATH Keywords

exponential smoothingkernel density estimationanomaly detectionartificial immune systemsbio-inspired algorithmsrecurrent equationsT cell signallingweighted moving average

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

The receptor density algorithm

Cites Work

• The receptor density algorithm
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• Theoretical advances in artificial immune systems
• The Efficiency of Some Nonparametric Competitors of the $t$-Test
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