Computer Science – Artificial Intelligence
Scientific paper
2010-04-20
Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK, 2009
Computer Science
Artificial Intelligence
6 pages, 4 figures, 3 tables, (UKCI 2009)
Scientific paper
As one of the newest members in the ?field of arti?cial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data, instead domain or expert knowledge is required to predetermine the mapping between input signals from a particular instance to the three categories used by the DCA. This data preprocessing phase has received the criticism of having manually over-?tted the data to the algorithm, which is undesirable. Therefore, in this paper we have attempted to ascertain if it is possible to use principal component analysis (PCA) techniques to automatically categorise input data while still generating useful and accurate classication results. The integrated system is tested with a biometrics dataset for the stress recognition of automobile drivers. The experimental results have shown the application of PCA to the DCA for the purpose of automated data preprocessing is successful.
Aickelin Uwe
Greensmith Julie
Gu Feng
Oates Robert
No associations
LandOfFree
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-473178