The Application of a Dendric Cell Algorithm to a Robotic Classifier

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 t...

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Main Authors: Oates, Robert, Greensmith, Julie, Aickelin, Uwe, Garibaldi, Jon, Kendall, Graham
Format: Conference or Workshop Item
Language:English
Published: 2007
Online Access:https://eprints.nottingham.ac.uk/574/
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author Oates, Robert
Greensmith, Julie
Aickelin, Uwe
Garibaldi, Jon
Kendall, Graham
author_facet Oates, Robert
Greensmith, Julie
Aickelin, Uwe
Garibaldi, Jon
Kendall, Graham
author_sort Oates, Robert
building Nottingham Research Data Repository
collection Online Access
description 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.
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institution University of Nottingham Malaysia Campus
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publishDate 2007
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spelling nottingham-5742020-05-08T11:15:06Z https://eprints.nottingham.ac.uk/574/ The Application of a Dendric Cell Algorithm to a Robotic Classifier Oates, Robert Greensmith, Julie Aickelin, Uwe Garibaldi, Jon Kendall, Graham 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. 2007 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/574/1/07icaris_bob.pdf Oates, Robert, Greensmith, Julie, Aickelin, Uwe, Garibaldi, Jon and Kendall, Graham (2007) The Application of a Dendric Cell Algorithm to a Robotic Classifier. In: Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007), Santos, Brazil.
spellingShingle Oates, Robert
Greensmith, Julie
Aickelin, Uwe
Garibaldi, Jon
Kendall, Graham
The Application of a Dendric Cell Algorithm to a Robotic Classifier
title The Application of a Dendric Cell Algorithm to a Robotic Classifier
title_full The Application of a Dendric Cell Algorithm to a Robotic Classifier
title_fullStr The Application of a Dendric Cell Algorithm to a Robotic Classifier
title_full_unstemmed The Application of a Dendric Cell Algorithm to a Robotic Classifier
title_short The Application of a Dendric Cell Algorithm to a Robotic Classifier
title_sort application of a dendric cell algorithm to a robotic classifier
url https://eprints.nottingham.ac.uk/574/