Artificial Immune Tissue using Self-Organizing Networks

Feyereisl, J and Aickelin, Uwe (2006) Artificial Immune Tissue using Self-Organizing Networks. In: Workshop on Artificial Immune Systems and Immune System Modelling, Bristol.

This is the latest version of this item.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
567Kb

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Pages 5-6
Uncontrolled Keywords:Artificial Immune Tissue using Self-Organizing Networks
Schools/Departments:Faculty of Science > School of Computer Science and Information Technology
ID Code:623
Deposited By:Aickelin, Professor Uwe
Deposited On:22 Oct 2007 14:45
Last Modified:22 Oct 2007 14:45

Available Versions of this Item

Repository Staff Only: item control page