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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Evolutionary Intelligence
2008
|
| Online Access: | https://eprints.nottingham.ac.uk/988/ |