The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms

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The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applications of the DCA have included the detection of pot...

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Bibliographic Details
Main Authors:	Greensmith, Julie, Feyereisl, Jan, Aickelin, Uwe
Format:	Article
Published:	Evolutionary Intelligence 2008
Online Access:	https://eprints.nottingham.ac.uk/988/

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