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Artificial Immune Tissue using Self-Organizing Networks

Feyereisl, J; Aickelin, Uwe

Authors

J Feyereisl

Uwe Aickelin



Abstract

As introduced by Bentley et al. (2005), artificial immune systems (AIS) are lacking tissue, which is present in one form or another in all living multi-cellular organisms. Some have argued that this concept in the context of AIS brings little novelty to the already saturated field of the immune inspired computational research. This article aims to show that such a component of an AIS has the potential to bring an advantage to a data processing algorithm in terms of data pre-processing, clustering and extraction of features desired by the immune inspired system. The proposed tissue algorithm is based on self-organizing networks, such as self-organizing maps (SOM) developed by Kohonen (1996) and an analogy of the so called Toll-Like Receptors (TLR) affecting the activation function of the clusters developed by the SOM.

Publication Date Jan 1, 2006
Peer Reviewed Peer Reviewed
APA6 Citation Feyereisl, J., & Aickelin, U. (2006). Artificial Immune Tissue using Self-Organizing Networks
Keywords Artificial Immune Tissue using Self-Organizing Networks
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Pages 5-6

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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