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Oates, Robert; Greensmith, Julie; Aickelin, Uwe; Garibaldi, Jon; Kendall, Graham (2007)
Languages: English
Types: Unknown
Subjects:

Classified by OpenAIRE into

mesheuropmc: technology, industry, and agriculture
The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 12. Greensmith, J., Twycross, J., Aickelin, U.: Dendritic cells for anomaly detection. In: Congress on Evolutionary Computation (CEC). (2006)
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    • 17. Twycross, J., Aickelin, U.: Libtissue - implementing innate immunity. In: Congress on Evolutionary Computation (CEC'06). (2006)
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